Findings on Happiness and CONSUMPTION

World Database of Happiness

Correlational Findings on Happiness and CONSUMPTION
Subject Code: C09

© on data collection: Ruut Veenhoven, Erasmus University Rotterdam

Classification of Findings
Subject Code Description Nr of Studies
on this Subject
C09CONSUMPTION0
C09aaConsumption career0
C09aa01Earlier consumption0
C09aa02Change in consumption5
C09aa03Later consumption level0
C09abCurrent consumption1
C09ab02fHousing7
C09ab02hLuxury1
C09ab02iaGroceries0
C09adAttitudes to consumption2
C09ad01Satisfaction with consumption level1
C09ad02Satisfaction with consumption pattern0
C09ab02gaHoliday travel1
C09ac02aType of payment0
C09ac02bFrequency of payment0
C09ab02kPersonal care3
C09ad04Consumption aspirations/motives3
C09ab02jOther people2
C09ab02maCar4
C09ab03aCommunication2
C09ab03aaTelephone2
C09ab03abE-mail0
C09ab03acSocial Media0
C09ab01Consumption level3
C09ab02Expenditures on..3
C09ab01aAbsolute level9
C09ab01bRelative level to others4
C09ab03Kinds of consumption4
C09ad05Preference for 'green' consumption2
C09ab03cGreen products1
C09ab03dPositional goods1
C09acPurchase behavior0
C09ac01aon internet1
C09ac02aaPreferred way of payment1
C09ac02abPracticed ways of payment1
C09ab02gLeisure3
C09ab02iFood6
C09ab02mTransport4
C09ab02lStimulants4
C09ab02nUtilities4
C09ab02aEducation4
C09ab02bClothing4
C09ab02cDurables4
C09ab02dExperiences1
C09aa02aConsuming less0
C09aa02bConsuming more0
C09aa02cConsuming different0
C09aa02aaSpend less on food1
C09aa02abSpend less on luxury1
C09aa02acSpend less on medication1
C09aa02adSpend less on stimulants1
C09aa02aeSpend less on utilities1
C09ab02eHealth1
C09ac01Buy where0
C09ac02Pay how0
C09ab03bEnergy: kinds used0
C09ab03baEnergy used foor coking1
C09ab03bbEnergy used for lighting1
C09ad03Satisfaction with product availability1
C09ab02mbPublic transportation1
C09ab03eServices2
C09ab03adTV1
C09ab02haArt1
C09aeControl over consumption1
C09ab01cRelative to income1
 
Appendices
Appendix 1Happiness measures used 
Appendix 2Statistics used 
Appendix 3About the World Database of Happiness 
Appendix 4Further Findings in the World Database of Happiness 
Appendix 5Related Subjects 

Cite as:    Veenhoven, R.: Findings on Happiness and CONSUMPTION
World Database of Happiness, Collection of Correlational Findings
Internet: http://worlddatabaseofhappiness.eur.nl/hap_cor/top_sub.php?code=C09
Erasmus University Rotterdam, 2017, Netherlands

Correlational finding on Happiness and Change in consumption
Subject code: C09aa02

StudyChhetri et al. (2009): study AU Queensland 2003
TitleWhy Bother to ''Downshift''? The Characteristics and Satisfaction of Downshifters in the Brisbane- South East Queensland Region, Australia.
SourceJournal of Population Research, 2009, Vol. 26, 57 - 64
DOIDOI:10.1007/s12546-008-9005-y
PublicDownshifters and non-downshifters, Australia, 2003
SampleProbability stratified sample
Non-Response60
Respondents N =773

Correlate
Author's labelDownshifters and non-downshifters
Page in Source Table 1
Our classificationChange in consumption, code C09aa02
Operationalization
In the last 10 years, have you voluntarily made a 
long-term change in your lifestyle, other than planned 
retirement, which has resulted in you earning less 
money?
  1 Yes (downshifter)
  0 No (non-downshifter)
Observed distributionDownshifter: N = 202 Non-downshifter: N = 511

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-u-sq-n-5-aDMa=- ns
Downshifters:     Ma = 4.18, SD = 0.67
Non-downshifters: Ma = 4.19, SD = 0.81
 -Difference: -0.01

Ma adjusted for: 
 -Sex
 -Education
 -Partner
 -Employment
 -Household type
 -Marital status
 -Dwelling status


Correlational finding on Happiness and Change in consumption
Subject code: C09aa02

StudyZhang (2012a): study JP 2010
TitleHouseholds' Multidimensional Mobilities Over Life Course and QOL: A case Study in Japan
SourceISQOLS: 43, 2012, Japan
URLhttps://sites.google.com/site/junyizhangcho/home/research-topics/citi_qol/d-publications
Public18+ aged, general public, major cities, Japan, 2010
SampleProbability stratified sample
Non-Response5.7%
Respondents N =943

Correlate
Author's labelCar ownership mobility/Car number
Page in Source 9, 11, 15
Our classificationChange in consumption, code C09aa02
Operationalization
Selfreport on single question:
How many times did you change your car (including sell 
or buy) which continued at least one year? (Full 
question was not reported, assumed)
1: zero
2: once
3: twice
4: three times
5: >= four times
Observed distributionM = 1.6, 1: 36%; 2: 21%; 3: 11%; 4: 9%; 5: 23% Average duration of car ownership: 9.7 years

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
M-FH-c-sq-n-11-dOPRC=-.00 ns
TIMES CAR CHANGED
OPRC = -.004
O-SLW-u-sq-v-5-rOPRC=-.01 ns
OPRC’s controlled for:
-Times change in
 -Residential mobility
 -Household structure mobility
 -Employment mobility 
-Residential environment
-Objective living standard
 -House property
 -Household annual income
 -Car number
-Household attributes
 -Household size
 -Single/Couple
 -Number of children
 -Number of elders
 -Worker
M-FH-c-sq-n-11-dOPRC=+.02 ns
NUMBER OF CARS IN HOUSEHOLD
O-SLW-u-sq-v-5-rOPRC=-.02 ns
OPRC’s controlled for:
-Times change in
 -Residential mobility
 -Household structure mobility
 -Employment mobility 
 -Car ownership mobility 
-Residential environment
-Objective living standard
 -House property
 -Household annual income
-Household attributes
 -Household size
 -Single/Couple
 -Number of children
 -Number of elders
 -Worker


Correlational finding on Happiness and Change in consumption
Subject code: C09aa02

StudyOzawa & Hoffstetter (2004): study JP 1997
TitleUse of Longitudinal Panel Data to Estimate the Effects of Adopting New Activities to Household Consumption Patterns and Happiness.
SourceProceedings, International Workshop on Driving Forces of and Barriers to Sustainable Consumption, University of Leeds, March 2004, UK, 88 - 97
URLHTTP://worlddatabaseofhappiness.eur.nl/hap_bib/freetexts/ozawa_t_2004B.pdf
PublicWomen, aged 24-38, followed 2 years, Japan, 1997-1999
SampleProbability simple random sample
Non-Response
Respondents N =1537

Correlate
Author's labelAdopting cloth dryer
Page in Source 96
Our classificationChange in consumption, code C09aa02
Operationalization
Selfreport on single question:
Start to use cloth dryer in 1998 and/or 1999:
0: non-adopters 
(those that have access to cloth dryer in neither year)
1: adopters 
(those that started cloth dryer in later year but not 
in the first year)
Full question was not reported.
Observed distributionDiffusion percentage: 1997: 20%; 1998: 20%; 1999: 20%

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-?-sq-v-5-eDM=+ ns
CHANGE in average happiness level
0:           -0.01
1:           +0.07
-difference: +0.08
O-SL?-?-sq-v-5-gDM=+ ns
0:           +0.02
1:           +0.13
-difference: +0.11
Set Image size:   



Correlational finding on Happiness and Change in consumption
Subject code: C09aa02

StudyOzawa & Hoffstetter (2004): study JP 1997
TitleUse of Longitudinal Panel Data to Estimate the Effects of Adopting New Activities to Household Consumption Patterns and Happiness.
SourceProceedings, International Workshop on Driving Forces of and Barriers to Sustainable Consumption, University of Leeds, March 2004, UK, 88 - 97
URLHTTP://worlddatabaseofhappiness.eur.nl/hap_bib/freetexts/ozawa_t_2004B.pdf
PublicWomen, aged 24-38, followed 2 years, Japan, 1997-1999
SampleProbability simple random sample
Non-Response
Respondents N =1537

Correlate
Author's labelAdopting personal computer
Page in Source 96
Our classificationChange in consumption, code C09aa02
Operationalization
Selfreport on single question:
Start to use personal computer in 1998 and/or 1999:
0: non-adopters 
(those that have access to personal computer in neither 
year)
1: adopters 
(those that started personal computer in later year but 
not in the first year)
Full question was not reported.
Observed distributionDiffusion percentage: 1997: 24%; 1998: 32%; 1999: 38% (calculated by WDH staff)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-?-sq-v-5-eDM=+ ns
CHANGE in average happiness level:
0:           -0.02
1:           +0.01
-difference: +0.03
O-SL?-?-sq-v-5-gDM=+ ns
0:           +0.01
1:           +0.01
-difference: 0
Set Image size:   



Correlational finding on Happiness and Change in consumption
Subject code: C09aa02

StudyOzawa & Hoffstetter (2004): study JP 1997
TitleUse of Longitudinal Panel Data to Estimate the Effects of Adopting New Activities to Household Consumption Patterns and Happiness.
SourceProceedings, International Workshop on Driving Forces of and Barriers to Sustainable Consumption, University of Leeds, March 2004, UK, 88 - 97
URLHTTP://worlddatabaseofhappiness.eur.nl/hap_bib/freetexts/ozawa_t_2004B.pdf
PublicWomen, aged 24-38, followed 2 years, Japan, 1997-1999
SampleProbability simple random sample
Non-Response
Respondents N =1537

Correlate
Author's labelAdopting mobile phone
Page in Source 96
Our classificationChange in consumption, code C09aa02
Operationalization
Selfreport on single question:
Start to use mobile phone in 1998 and/or 1999:
0: non-adopters 
(those that have access to mobile phone in neither 
year)
1: adopters 
(those that started mobile phone in later year but not 
in the first year)
Full question was not reported.
Observed distributionDiffusion percentage: 1997: 53%; 1998: 68%; 1999: 78% (calculated by WDH staff)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-?-sq-v-5-eDM=+ ns
CHANGE in average happiness level:
0:           -0.02
1:           +0.03
-difference: +0.05
O-SL?-?-sq-v-5-gDM=+ ns
0:           +0.01
1:           +0.02
-difference: +0.01
Set Image size:   



Correlational finding on Happiness and Spend less on food
Subject code: C09aa02aa

StudyDumludag (2015): study ZZ 2010
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, developed and transition nations, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =22671

Correlate
Author's labelReduction in comsumption on staple foods
Page in Source Table 7
Our classificationSpend less on food, code C09aa02aa
Operationalization
In the past 2 years, have you or anyone else in your 
household had to take a reduction in consumption on 
staple food as the result of a decline in income or 
other economic difficulty?
1. yes
0. no

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bbb=-.02 ns
Developed Countries
O-SLW-c-sq-n-11-bbb=-.54 p < .01
Transition (all)
O-SLW-c-sq-n-11-bbb=-.52 p < .01
Central Eastern Europe and the Baltic states 
(CEB), South East Europe (SEE)
O-SLW-c-sq-n-11-bbb=-.55 p < .01
The Commonwealth of Independent States and 
Mongolia (CIS+M)

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Education
-Country 
-Employment
-Income ladder


Correlational finding on Happiness and Spend less on luxury
Subject code: C09aa02ab

StudyDumludag (2015): study ZZ 2010
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, developed and transition nations, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =22671

Correlate
Author's labelReduction in comsumption on luxury goods
Page in Source Table 7
Our classificationSpend less on luxury, code C09aa02ab
Operationalization
In the past 2 years, have you or anyone else in your 
household had to take a reduction in consumption on 
luxury goods as the result of a decline in income or 
other economic difficulty?
1. yes
0. no

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bbb=+.02 ns
Developed Countries
O-SLW-c-sq-n-11-bbb=-.04 ns
Transition (all)
O-SLW-c-sq-n-11-bbb=+.02 ns
Central Eastern Europe and the Baltic states 
(CEB), South East Europe (SEE)
O-SLW-c-sq-n-11-bbb=-.10 p < .05
The Commonwealth of Independent States and 
Mongolia (CIS+M)

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Education
-Country 
-Employment
-Income ladder


Correlational finding on Happiness and Spend less on medication
Subject code: C09aa02ac

StudyDumludag (2015): study ZZ 2010
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, developed and transition nations, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =22671

Correlate
Author's labelReduction in comsumption on regular medications
Page in Source Table 7
Our classificationSpend less on medication, code C09aa02ac
Operationalization
In the past 2 years, have you or anyone else in your 
household had to take a reduction in consumption on 
regular medications as the result of a decline in 
income or other economic difficulty?
1. yes
0. no

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bbb=+.07 ns
Developed Countries
O-SLW-c-sq-n-11-bbb=-.30 p < .01
Transition (all)
O-SLW-c-sq-n-11-bbb=-.32 p < .01
Central Eastern Europe and the Baltic states 
(CEB), South East Europe (SEE)
O-SLW-c-sq-n-11-bbb=-.28 p < .01
The Commonwealth of Independent States and 
Mongolia (CIS+M)

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Education
-Country 
-Employment
-Income ladder


Correlational finding on Happiness and Spend less on stimulants
Subject code: C09aa02ad

StudyDumludag (2015): study ZZ 2010
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, developed and transition nations, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =22671

Correlate
Author's labelReduction in comsumption on Alcoholic drinks
Page in Source Table 7
Our classificationSpend less on stimulants, code C09aa02ad
Operationalization
In the past 2 years, have you or anyone else in your 
household had to take a reduction in consumption on 
alcoholic drinks as the result of a decline in income 
or other economic difficulty?
1. yes
0. no

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bbb=-.23 p < .05
Developed Countries
O-SLW-c-sq-n-11-bbb=-.05 ns
Transition (all)
O-SLW-c-sq-n-11-bbb=-.12 p < .05
Central Eastern Europe and the Baltic states 
(CEB), South East Europe (SEE)
O-SLW-c-sq-n-11-bbb=+.05 ns
The Commonwealth of Independent States and 
Mongolia (CIS+M)

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Education
-Country 
-Employment
-Income ladder


Correlational finding on Happiness and Spend less on utilities
Subject code: C09aa02ae

StudyDumludag (2015): study ZZ 2010
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, developed and transition nations, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =22671

Correlate
Author's labelReduction in comsumption on utilities
Page in Source Table 7
Our classificationSpend less on utilities, code C09aa02ae
Operationalization
In the past 2 years, have you or anyone else in your 
household had to take a reduction in consumption on 
utilities as the result of a decline in income or other 
economic difficulty?
1. yes
0. no

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bbb=-.11 ns
Developed Countries
O-SLW-c-sq-n-11-bbb=-.29 p < .01
Transition (all)
O-SLW-c-sq-n-11-bbb=-.21 p < .01
Central Eastern Europe and the Baltic states 
(CEB), South East Europe (SEE)
O-SLW-c-sq-n-11-bbb=-.36 p < .01
The Commonwealth of Independent States and 
Mongolia (CIS+M)

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Education
-Country 
-Employment
-Income ladder


Correlational finding on Happiness and Current consumption
Subject code: C09ab

StudyWang et al. (2015): study CN 2010
TitleDoes Consuming More Make You Happier? Evidence from Chinese Panel Data.
SourceMonash DOE Working Paper, 2015, No. 29, 1 - 26
URLhttp://www.researchgate.net/publication/277004500_Does_Consuming_More_Make_You_Happier_Evidence_from_Chinese_Panel_Data
Public18+ aged, general public, China, 2010-2012
SampleProbability multistage stratified area sample
Non-Response
Respondents N =61009

Correlate
Author's labelConsumption expenditures
Page in Source 6,7,21,23,25
Our classificationCurrent consumption, code C09ab
Operationalization
Annual consumption expenditures per capita in RMB in 
2010 prices

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLu-u-sq-v-5-jBeta=+.00 p < .01
Beta=+0.0014 (p<.01)
O-SLu-u-sq-v-5-jBeta=+.00 p < .01
Males: Beta=+.0019 (p<.01)
O-SLu-u-sq-v-5-jBeta=+.00 ns
Females: Beta=+.0007(ns)
O-SLu-u-sq-v-5-jBeta=+.00 p < .05
Urban residents: Beta=+.0013 (p<.05)
O-SLu-u-sq-v-5-jBeta=+.00 ns
Rural residents: Beta=+.0007 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 ns
Urban migrants: Beta=+.0001 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 p < .01
Urban locals: Beta=+.0012 (p<.05)

All beta's controlled for:
- Individual characteristics:
  - age
  - age squared
  - marital status
  - schooling (years) 
  - urban vs. rural
  - health
  - health compared to 1 year ago  
  - employment status
  - employment sector
  - occupation level
  - working hours
  - welfare entitlements
  - house ownership
  - housing type
  - social status at local level (self-assessed)
  - confidence in future
  - unfair treatment experienced
- Environment characteristics:
  - performance of county government
  - community type (residential or village)
  - economic condition of community
  - socio-economic homogenity of community
  - spaciousness of community
  - location of community(city,town,village or 
suburb)
  - time to get to nearest business center
  - region (east, west or central)

Similar results from analyses using:
- fixed effect
- ordinal
O-SLu-u-sq-v-5-jBeta=-.00 p < .01
Squared total consumption: Beta=-.0000(p<.01) 
(means that there is no declining utility)
O-SLu-u-sq-v-5-jBeta=+.00 p < .01
Beta= +.0027 (p<.01) when additionally controlled 
for squared total consumption


Correlational finding on Happiness and Consumption level
Subject code: C09ab01

StudyNoll & Weick (2015): study DE 2010
TitleConsumption Expenditures and Subjective Well-Being: Emperical Evidence from Germany
SourceInternational Review of Economics, 2015, Vol. 62, 101 - 119
DOIDOI: 10.1007/s12232-015-0219-3
Public16+ aged, general public, Germany, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =30000

Correlate
Author's labelTotal household consumption expenditures
Page in Source Table 3 & Table 4
Our classificationConsumption level, code C09ab01
Operationalization
Selfreport on total household consumption expendtures
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bdb=+.56 p < .001
B controlled for 
-Household size(ln)
O-SLW-c-sq-n-11-bdb=+.29 p < .001
B addtionally controlled for
-Household net income (ln)
O-SLW-c-sq-n-11-bdb=+.29 p < .001
B additionally controlled for
-Region in Germany
-Age
-Marital status
-Education
-Employment status
-Self-rated health status
Excluded household net income (ln)
O-SLW-c-sq-n-11-bdb=+.16 p < .001
B additionally controlled for
-Household net income(ln)


Correlational finding on Happiness and Consumption level
Subject code: C09ab01

StudyGuillen-Royo & Velazco (2012): study PE 2005
TitleHappy Villages and Unhappy Slums? Understanding Happiness Determinants in Peru.
SourceSelin, H.; Davey, G; Eds.: "Happiness Across Cultures. Views of Happiness and Quality of Life in Non-Western Cultures Across Cultures. The History of Non-Westeren Science 6.", Springer, 2012, New York, USA, 253 - 270
DOIDOI: 10.1007/978-94-007-2700-7_18
PublicGeneral public, Peruvian corridor region, Peru, 2005
SampleProbability stratified sample
Non-Response
Respondents N =251

Correlate
Author's labelHousehold expenditure
Page in Source Table 5
Our classificationConsumption level, code C09ab01
Operationalization
All expenditures on durable and non-durable goods. Food 
expenditure was comprised of the value of food that had 
been bought or consumed from own production or received 
from others. Non-food expenditure consisted of 
expenditure on education, household durables, 
utilities, furniture, health care, personal items, and 
transport and ceremonial expenses.

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-c-sq-v-3-abb=+.21 ns
All
O-HL-c-sq-v-3-abb=-.09 ns
Non-urban
O-HL-c-sq-v-3-abb=+.57 p < .05
Urban

B's controlled for: 
 -age
 -marital status
 -gender
 -Years of education
 -migrant
 -average expenditure


Correlational finding on Happiness and Consumption level
Subject code: C09ab01

StudyHeadey et al. (2008): study GB 2000
TitleMoney does not Buy Happiness...Or does it? A Reconsideration Based on the Combined Effects of Wealth, Income and Consumption.
SourceSocial Indicators Research, 2008, Vol. 87, 65 - 82
DOIDOI:10.1007/s11205-007-9146-y
Public15+ aged, general public, Great Britain, 2000
SampleProbability simple random sample
Non-Response
Respondents N =14101

Correlate
Author's labelHousehold income
Page in Source 13
Our classificationConsumption level, code C09ab01
Operationalization
Estimate based on responses to detailed questions about 
income components

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-7-aR²=.013 p < .001
Income by itself
O-SLW-c-sq-n-7-aR²=.024 p < .001
Income + wealth
O-SLW-c-sq-n-7-aR²=.024 p < .001
Income + wealth + consumption


Correlational finding on Happiness and Absolute level
Subject code: C09ab01a

StudyNoll & Weick (2015): study DE 2010
TitleConsumption Expenditures and Subjective Well-Being: Emperical Evidence from Germany
SourceInternational Review of Economics, 2015, Vol. 62, 101 - 119
DOIDOI: 10.1007/s12232-015-0219-3
Public16+ aged, general public, Germany, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =30000

Correlate
Author's labelTotal household consumption expenditures
Page in Source Table 3 & Table 4
Our classificationAbsolute level, code C09ab01a
Operationalization
Selfreport on total household consumption expendtures
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bdb=+.56 p < .001
B controlled for 
-Household size(ln)
O-SLW-c-sq-n-11-bdb=+.29 p < .001
B addtionally controlled for
-Household net income (ln)
O-SLW-c-sq-n-11-bdb=+.29 p < .001
B additionally controlled for
-Region in Germany
-Age
-Marital status
-Education
-Employment status
-Self-rated health status
Excluded household net income (ln)
O-SLW-c-sq-n-11-bdb=+.16 p < .001
B additionally controlled for
-Household net income(ln)


Correlational finding on Happiness and Absolute level
Subject code: C09ab01a

StudyHeadey et al. (2008): study HU 1996
TitleMoney does not Buy Happiness...Or does it? A Reconsideration Based on the Combined Effects of Wealth, Income and Consumption.
SourceSocial Indicators Research, 2008, Vol. 87, 65 - 82
DOIDOI:10.1007/s11205-007-9146-y
Public16+ aged, general public, Hungary, 1996
SampleProbability simple random sample
Non-Response
Respondents N =3055

Correlate
Author's labelHousehold income
Page in Source 13
Our classificationAbsolute level, code C09ab01a
Operationalization
Estimates based on responses to detailed questions 
about income components.

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-10-fR²=.042
Income by itself
O-SLW-c-sq-n-10-fR²=.049 p < .001
Income + wealth
O-SLW-c-sq-n-10-fR²=.070 p < .001
Income + wealth + consumption


Correlational finding on Happiness and Absolute level
Subject code: C09ab01a

StudyLinssen et al. (2011): study IN Orrisa 2008
TitleSubjective Well Being in Rural India: The Curse of Conspicuous Consumption.
SourceSocial Indicators Research, 2011, Vol. 101, 57-72
DOIDOI:10.1007/s11205-010-9635-2
PublicPoor household, rural areas, India, 2008
SampleNon-probability accidental sample
Non-Response
Respondents N =697

Correlate
Author's labelAbsolute consumption
Page in Source Table 2
Our classificationAbsolute level, code C09ab01a
Operationalization
Natural logarithm of all items bought during last week, 
all homegrown consumption during last 12 months, 
durable goods bought last year and replacement value of 
durables, per capita.
Observed distributionM = 7.31; SD = 1.08

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-g-sq-v-5-ab=+11 p < .05
B = +10.729

B controlled for:
-Consumption
 -conspicuous consumption
O-HL-g-sq-v-5-ab=--16 ns
B additionally controlled for:
-Village level characteristics
 -average village level consumption
-Relative consumption
 (difference absolute consumption of respondent 
with average in village)
O-HL-g-sq-v-5-ab=-12 ns
B additionally controlled for:
-Individual level characteristic
 -caste
 -missed days due to health
 -age
 -education
 -marrital status
 -religion
 -employed/unemployed
 -sexe


Correlational finding on Happiness and Absolute level
Subject code: C09ab01a

StudyLandiyanto et al. (2010): study ID 2007
TitleWealth and Happiness: Empirical Evidence from Indonesia.
SourceWorking Paper, 2010, 1 - 19, Mahidol University, Thailand
URLhttp://www.rand.org/content/dam/rand/www/external/labor/FLS/IFLS/papers/2010_landiyanto2.pdf
Public15+ aged, general public, Indonesia, 2007
SampleNon-probability purposive sample
Non-Response
Respondents N =29013

Correlate
Author's labelExpenditures
Page in Source 10-17
Our classificationAbsolute level, code C09ab01a
Operationalization
Selfreport  question on expenditures in Indonesian 
rupiah for food and nonfood goods and services. 
Logistic natural is used.
Observed distributionM=16.79; SD=0.95; Range=13.22-23.69

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-c-sq-v-4-car=+.00
O-HL-c-sq-v-4-caOR=0.08 p < .01
OR controlled for:
-health;
-assets;
-education;
-expenditures;
-age;
-sexe


Correlational finding on Happiness and Absolute level
Subject code: C09ab01a

StudyHinks & Davies (2008): study MW 2004
TitleLife Satisfaction in Malawi and the Importance of Relative Consumption, Polygamy and Religion.
SourceJournal of International Development, 2008, Vol. 20, 888 - 904
URLhttp://onlinelibrary.wiley.com/doi/10.1002/jid.1470/abstract
DOIDOI:10.1002/jid.1470
PublicHousehold heads, Malawai 2004-2005
SampleProbability multi-stage random
Non-Response
Respondents N =11272

Correlate
Author's labelper capita consumption
Page in Source 894, 902
Our classificationAbsolute level, code C09ab01a
Operationalization
For the Difference in Percentages, expressed in 
Quintiles:
5=lowest
1=highest

The coding seems to have changed in the regression 
analysis to 5 - highest consumption. Otherwise the 
positive B would mean that less consumption goes with 
greater happiness.

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-u-sq-v-5-eD%=
Satisfaction increases with consumption.
The main frequency differences occur between 
quntile 3 and 2.
O-SLW-u-sq-v-5-eb=+,33 p < .01
B controlled for:
- individual characteristics
  - age
  - education
  - employment
  - marriage
    - status (married,divorced, wiwow)
    - polygamous (vs not)
  - religion
  - interaction religion-polygamous marriage
- household situation
  - size
  - consumption per capita
  - sick member
- local environmnent
  - consumption level
  - safety
    - atacked in the last year
    - feeling unsafe
  - rural (vs not)
  - hunger season
  - member of parliament lives in area

B unaffected by
- additional control for personal assets
- alternative controls for relative wealth


Correlational finding on Happiness and Absolute level
Subject code: C09ab01a

StudyGuillen-Royo (2008): study PE 2004
TitleConsumption and Subjective Wellbeing: Exploring Basic Needs, Social Comparison, Social Integration and Hedonism in Peru.
SourceSocial Indicators Research, 2008, Vol. 89, 535 - 555
DOIDOI:10.1007/s11205-008-9248-1
PublicGeneral public, 7 poor communities, Peru, 2005
SampleNon-probability purposive sample
Non-Response
Respondents N =399

Correlate
Author's labelIntermediate needs
Page in Source 544-545
Our classificationAbsolute level, code C09ab01a
Operationalization
Number of needs household lacks access to
Observed distributionM = 3.321; SD = 1.436
Remarks
10 intermediate needs include: 
a. health service utilisation
b. basic education
c. significant primary relationships
d. nutrition
e. sanitation
f. driking water
g. electricity
h. main dwelling
i. economic and physical security
j. safe birth control
where an index of 10 indicates that a household lacks 
access to all the 10 intermediate needs and an index of 
0 that has access to all of them

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-c-sq-v-3-ab=-.08 p < .1
B controlled for:
-Socio-demographic characteristic
 -age squared
 -male dummy
 -religion dummy
 -cohabiting dummy
 -chronic illness dummy
 -age
 -self-employed dummy
 -homemaker dummy
-Consumption
 -log total expenditure
-Location
 -Peri-urban dummy
 -rural dummy
O-HL-c-sq-v-3-ab=-.10 p < .05
B controlled for:
-Socio-demographic characteristic
 -age squared
 -male dummy
 -religion dummy
 -cohabiting dummy
 -chronic illness dummy
 -age
 -homemaker dummy
 -self-employed
-Consumption
 -average expenditure
 -relative expenditure
O-HL-c-sq-v-3-ab=-.12 p < .05
B controlled for:
-Socio-demographic characteristic
 -age squared
 -male dummy
 -religion dummy
 -cohabiting dummy
 -chronic illness dummy
 -age
 -homemaker dummy
 -self-employed
-Consumption
 -average expenditure
 -relative expenditure
-Motives for consumption
 -providing household basics dummy
 -hedonism dummy
 -social interaction dummy


Correlational finding on Happiness and Absolute level
Subject code: C09ab01a

StudyGuillen-Royo (2008): study PE 2004
TitleConsumption and Subjective Wellbeing: Exploring Basic Needs, Social Comparison, Social Integration and Hedonism in Peru.
SourceSocial Indicators Research, 2008, Vol. 89, 535 - 555
DOIDOI:10.1007/s11205-008-9248-1
PublicGeneral public, 7 poor communities, Peru, 2005
SampleNon-probability purposive sample
Non-Response
Respondents N =399

Correlate
Author's labelExpenditure
Page in Source 544-545
Our classificationAbsolute level, code C09ab01a
Operationalization
Total expenditure on food and non-food consumption 
(including home produces and donations)
Observed distributionTotal expenditure: M = 2.044; SD = 0.232 Average expenditure: M = 134.2; SD = 18.50 Relative expenditure: M = -5.79; SD = 79.93
Remarks
Data were transformed in monthly terms at current 
prices for July 2005 (the month when the survey was 
carried out) in the local currency. Then, expenditure 
at the household level was transformed to per capita 
terms using the adult equivalence scale of the World 
Health Organisation.

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-c-sq-v-3-ab=+.55 p < .05
TOTAL EXPENDITURE

B controlled for:
-Socio-demographic characteristic
 -age squared
 -male dummy
 -religion dummy
 -cohabiting dummy
 -chronic illness dummy
 -age
 -self-employed dummy
 -homemaker
-Basic needs
 -intermediate needs
-Location
 -Peri-urban dummy
 -rural dummy
O-HL-c-sq-v-3-ab=-.02 p < .01
AVERAGE EXPENDITURE

B controlled for:
-Socio-demographic characteristic
 -age squared
 -male dummy
 -religion dummy
 -cohabiting dummy
 -chronic illness dummy
 -age
 -self-employed dummy
 -homemaker
-Basic needs
 -intermediate needs
-Consumption
 -relative expenditure
O-HL-c-sq-v-3-ab=-.02 p < .01
B additionally controlled for:
-Motives for consumption
 -providing household basics dummy
 -hedonism dummy
 -social interaction dummy
O-HL-c-sq-v-3-ab=.002 p < .05
RELATIVE EXPENDITURE

B controlled for:
-Socio-demographic characteristic
 -age squared
 -male dummy
 -religion dummy
 -cohabiting dummy
 -chronic illness dummy
 -age
 -self-employed dummy
 -homemaker
-Basic needs
 -intermediate needs
-Consumption
 -average expenditure
O-HL-c-sq-v-3-ab=.002 p < .05
B additionally controlled for:
-Motives for consumption
 -providing household basics dummy
 -hedonism dummy
 -social interaction dummy


Correlational finding on Happiness and Absolute level
Subject code: C09ab01a

StudySenik (2004): study RU 1994
TitleWhen Information Dominates Comparison. Learning from Russian Subjective Panel Data.
SourceJournal of Public Economics, 2004, Vol. 88, 2099 - 2123
DOIDOI:10.1016/S0047-2727(03)00066-5
Public18+ aged general public, Russia, followed 6 years, 1994-2000
SampleProbability multi-stage cluster sample
Non-Response
Respondents N =11129

Correlate
Author's labelHousehold expenditure
Page in Source 2109
Our classificationAbsolute level, code C09ab01a
Operationalization
Household expenditure (log)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-v-5-hOPRC=+.44 p < .01
OPRC controlled for:
- age
- marital status
- household size
- mother tongue
- believer
- gender
- region
- round
- health


Correlational finding on Happiness and Absolute level
Subject code: C09ab01a

StudyLehman (1988): study US 1981
TitleA Quality of Life Interview for the Chronically Mentally Ill.
SourceEvaluation and Program Planning, 1988, Vol. 11, 51 - 62
PublicChronic mental patients, USA,1981
SampleNon-probability purposive sample
Non-Response
Respondents N =469

Correlate
Author's labelSpending
Page in Source 57
Our classificationAbsolute level, code C09ab01a
Operationalization
Self report of amount of money spend per month

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-DT-u-sqt-v-7-ar=-.09 ns
Los Angeles: mentally ill residents of 30 large 
board-and-care homes
O-DT-u-sqt-v-7-ar=-.14 ns
Rochester: chronically mentally ill inpatients at 
the Rochester(N.Y.) Psychiatric Center
O-DT-u-sqt-v-7-ar=-.09 ns
Rochester:chronically mentaly ill residents of 
various supervised community residences


Correlational finding on Happiness and Relative level to others
Subject code: C09ab01b

StudyWang et al. (2015): study CN 2010
TitleDoes Consuming More Make You Happier? Evidence from Chinese Panel Data.
SourceMonash DOE Working Paper, 2015, No. 29, 1 - 26
URLhttp://www.researchgate.net/publication/277004500_Does_Consuming_More_Make_You_Happier_Evidence_from_Chinese_Panel_Data
Public18+ aged, general public, China, 2010-2012
SampleProbability multistage stratified area sample
Non-Response
Respondents N =61009

Correlate
Author's labelRelative consumption compared to others
Page in Source 9,10,24
Our classificationRelative level to others, code C09ab01b
Operationalization
Ratio between one's own consumption and 
a the average consumption in area
b highest consumption in area
c average consumption of people who consume more than 
average (rich)
d average consumption of people who consume less than 
average (poor)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLu-u-sq-v-5-jBeta=+.01 p < .05
a RATIO MEAN CONSUMPTION
  County:   Beta= +.0140
O-SLu-u-sq-v-5-jBeta=+.01 ns
 Community: Beta= +.0141
O-SLu-u-sq-v-5-jBeta=+.01 p < .05
  People matched on  gender,age,education:
            Beta= +.0139
O-SLu-u-sq-v-5-jBeta=+.01 ns
b RATIO HIGHEST CONSUMPTION
  County:    Beta= +.0055
O-SLu-u-sq-v-5-jBeta=+.00 ns
  Community: Beta= +.0028
O-SLu-u-sq-v-5-jBeta=-.00 ns
  People matched on  gender,age,education:
              Beta= -.0002
O-SLu-u-sq-v-5-jBeta=+.00 p < .01
c RICHER/POORER:
  County:
   Richer:    Beta= +.0015
O-SLu-u-sq-v-5-jBeta=-.00 ns
   Poorer:    Beta= -.0035
O-SLu-u-sq-v-5-jBeta=+.00 p < .01
   Community:
   Richer:    Beta= +.0014
O-SLu-u-sq-v-5-jBeta=-.00 ns
   Poorer:    Beta= -.0014
O-SLu-u-sq-v-5-jBeta=+.00 p < .05
   People matched on gender,age,education:
     Richer:  Beta= +.0011
O-SLu-u-sq-v-5-jBeta=+.00 ns
     Poorer:  Beta= +.0025

All beta's controlled for:
- Individual characteristics:
  - age
  - age squared
  - marital status
  - schooling (years) 
  - urban vs. rural
  - health
  - health compared to 1 year ago
  - employment status
  - employment sector
  - occupation level
  - working hours
  - welfare entitlements
  - house ownership
  - housing type
  - social status at local level (self-assessed)
  - confidence in future
  - unfair treatment experienced
- Environment characteristics:
  - performance of county government
  - community type (residential or village)
  - economic condition of community
  - socio-economic homogenity of community
  - spaciousness of community
  - location of community(city,town,village or 
suburb)
  - time to get to nearest business center
  - region (east, west or central)


Correlational finding on Happiness and Relative level to others
Subject code: C09ab01b

StudyLinssen et al. (2011): study IN Orrisa 2008
TitleSubjective Well Being in Rural India: The Curse of Conspicuous Consumption.
SourceSocial Indicators Research, 2011, Vol. 101, 57-72
DOIDOI:10.1007/s11205-010-9635-2
PublicPoor household, rural areas, India, 2008
SampleNon-probability accidental sample
Non-Response
Respondents N =697

Correlate
Author's labelRelative consumption
Page in Source Table 1 & Table 2
Our classificationRelative level to others, code C09ab01b
Operationalization
Difference between
 -absolute consumption of respondent
 -average consumption in village
Remarks
Author calls this "Cross level interaction"

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-g-sq-v-5-ab=+3.1 ns
B controlled for:
-Consumption
 -conspicuous consumption
 -absolute consumption
-Village level characteristics
 -average village level consumption
O-HL-g-sq-v-5-ab=+2.4 ns
B additionally controlled for:
-Individual level characteristic
 -caste
 -missed days due to health
 -age
 -education
 -marrital status
 -religion
 -employed/unemployed
 -sexe


Correlational finding on Happiness and Relative level to others
Subject code: C09ab01b

StudyHinks & Davies (2008): study MW 2004
TitleLife Satisfaction in Malawi and the Importance of Relative Consumption, Polygamy and Religion.
SourceJournal of International Development, 2008, Vol. 20, 888 - 904
URLhttp://onlinelibrary.wiley.com/doi/10.1002/jid.1470/abstract
DOIDOI:10.1002/jid.1470
PublicHousehold heads, Malawai 2004-2005
SampleProbability multi-stage random
Non-Response
Respondents N =11272

Correlate
Author's labelrelative consumption
Page in Source 902
Our classificationRelative level to others, code C09ab01b
Operationalization
Measurement of both not reported:
Relative consumption = individual consumption/average 
community consumption.

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-u-sq-v-5-eb=+,15 p < .01
B controlled for:
- individual characteristics
  - age
  - education
  - employment
  - marriage
    - status (married,divorced, wiwow)
    - polygamous (vs not)
  - religion
  - interaction religion-polygamous marriage
- household situation
  - size
  - consumption per capita
  - sick member
- local environmnent
  - consumption level
  - safety
    - atacked in the last year
    - feeling unsafe
  - rural (vs not)
  - hunger season
  - member of parliament lives in area

Not significant for women


Correlational finding on Happiness and Relative level to others
Subject code: C09ab01b

StudyGuillen-Royo (2008): study PE 2004
TitleConsumption and Subjective Wellbeing: Exploring Basic Needs, Social Comparison, Social Integration and Hedonism in Peru.
SourceSocial Indicators Research, 2008, Vol. 89, 535 - 555
DOIDOI:10.1007/s11205-008-9248-1
PublicGeneral public, 7 poor communities, Peru, 2005
SampleNon-probability purposive sample
Non-Response
Respondents N =399

Correlate
Author's labelExpenditure
Page in Source 544-545
Our classificationRelative level to others, code C09ab01b
Operationalization
Total expenditure on food and non-food consumption 
(including home produces and donations)
Observed distributionTotal expenditure: M = 2.044; SD = 0.232 Average expenditure: M = 134.2; SD = 18.50 Relative expenditure: M = -5.79; SD = 79.93
Remarks
Data were transformed in monthly terms at current 
prices for July 2005 (the month when the survey was 
carried out) in the local currency. Then, expenditure 
at the household level was transformed to per capita 
terms using the adult equivalence scale of the World 
Health Organisation.

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-c-sq-v-3-ab=+.55 p < .05
TOTAL EXPENDITURE

B controlled for:
-Socio-demographic characteristic
 -age squared
 -male dummy
 -religion dummy
 -cohabiting dummy
 -chronic illness dummy
 -age
 -self-employed dummy
 -homemaker
-Basic needs
 -intermediate needs
-Location
 -Peri-urban dummy
 -rural dummy
O-HL-c-sq-v-3-ab=-.02 p < .01
AVERAGE EXPENDITURE

B controlled for:
-Socio-demographic characteristic
 -age squared
 -male dummy
 -religion dummy
 -cohabiting dummy
 -chronic illness dummy
 -age
 -self-employed dummy
 -homemaker
-Basic needs
 -intermediate needs
-Consumption
 -relative expenditure
O-HL-c-sq-v-3-ab=-.02 p < .01
B additionally controlled for:
-Motives for consumption
 -providing household basics dummy
 -hedonism dummy
 -social interaction dummy
O-HL-c-sq-v-3-ab=.002 p < .05
RELATIVE EXPENDITURE

B controlled for:
-Socio-demographic characteristic
 -age squared
 -male dummy
 -religion dummy
 -cohabiting dummy
 -chronic illness dummy
 -age
 -self-employed dummy
 -homemaker
-Basic needs
 -intermediate needs
-Consumption
 -average expenditure
O-HL-c-sq-v-3-ab=.002 p < .05
B additionally controlled for:
-Motives for consumption
 -providing household basics dummy
 -hedonism dummy
 -social interaction dummy


Correlational finding on Happiness and Relative to income
Subject code: C09ab01c

StudyWang et al. (2015): study CN 2010
TitleDoes Consuming More Make You Happier? Evidence from Chinese Panel Data.
SourceMonash DOE Working Paper, 2015, No. 29, 1 - 26
URLhttp://www.researchgate.net/publication/277004500_Does_Consuming_More_Make_You_Happier_Evidence_from_Chinese_Panel_Data
Public18+ aged, general public, China, 2010-2012
SampleProbability multistage stratified area sample
Non-Response
Respondents N =61009

Correlate
Author's labelConsumption-income ratio
Page in Source 7,22
Our classificationRelative to income, code C09ab01c
Operationalization
Consumption-income ratio:
Ratio of consumption with local income level per capita 
in terciles:
1 Lowest
2 Medium
3 Highest

A Community level
B County level

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLu-u-sq-v-5-jBeta=-.00 p < .01
CONSUMPTION RELATIVE TO COMMUNITY:
Lowest income tercile
O-SLu-u-sq-v-5-jBeta=-.00
Medium income tercile
O-SLu-u-sq-v-5-jBeta=+.03 ns
Highest income tercile
O-SLu-u-sq-v-5-jBeta=-.00 ns
CONSUMPTION RELATIVE TO COUNTY:
Lowest income tercile
O-SLu-u-sq-v-5-jBeta=-.01 ns
Medium income tercile
O-SLu-u-sq-v-5-jBeta=+.01 ns
Highest income tercile

All beta's controlled for:
- Individual characteristics:
  - age
  - age squared
  - marital status
  - schooling (years) 
  - urban vs. rural
  - health
  - health compared to 1 year ago
  - employment status
  - employment sector
  - occupation level
  - working hours
  - welfare entitlements
  - house ownership
  - housing type
  - social status at local level (self-assessed)
  - confidence in future
  - unfair treatment experienced
- Environment characteristics:
  - performance of county government
  - community type (residential or village)
  - economic condition of community
  - socio-economic homogenity of community
  - spaciousness of community
  - location of community(city,town,village or 
suburb)
  - time to get to nearest business center
  - region (east, west or central)


Correlational finding on Happiness and Expenditures on..
Subject code: C09ab02

StudyWang et al. (2015): study CN 2010
TitleDoes Consuming More Make You Happier? Evidence from Chinese Panel Data.
SourceMonash DOE Working Paper, 2015, No. 29, 1 - 26
URLhttp://www.researchgate.net/publication/277004500_Does_Consuming_More_Make_You_Happier_Evidence_from_Chinese_Panel_Data
Public18+ aged, general public, China, 2010-2012
SampleProbability multistage stratified area sample
Non-Response
Respondents N =61009

Correlate
Author's labelSpecific consumption categories
Page in Source 7,8,9,23
Our classificationExpenditures on.., code C09ab02
Operationalization
Annual consumption expenditures per capita on :
a food
b dress/clothing
c housing
d necessities
e medical treatment and fitness
f  transportation and communication
g education and entertainment
h transfers
I welfare
m mortgage
n other
Remarks
in RMB in 2010 prices

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLu-u-sq-v-5-jBeta=+.00 ns
a FOOD
O-SLu-u-sq-v-5-jBeta=+.02 p < .01
b CLOTHING:              
    Males:                Beta=+.05 (p<.01)
    Females:              Beta=+.00 (ns)
    Urban:                Beta=+.02 (ns)
    Rural:                Beta=+.02 (ns)
    Locals:               Beta=+.04 (p<.01)
    Migrants:             Beta=-.02 (ns)
O-SLu-u-sq-v-5-jBeta=-.00 ns
c HOUSING:              
    Males:                Beta=-.00 (ns)
    Females:              Beta=+.00 (ns)
    Urban:                Beta=-.00 (ns)
    Rural:                Beta=+.00 (ns)
    Locals:               Beta=-.00 (ns)
    Migrants:             Beta=-.01 (ns)
O-SLu-u-sq-v-5-jBeta=-.00 ns
d NECESSITIES:           
    Males:                Beta=-.00 (ns)
    Females:              Beta=-.00 (ns)
    Urban:                Beta=-.00 (ns)
    Rural:                Beta=-.00 (ns)
    Locals:               Beta=-.00 (ns)
    Migrants:             Beta=+.00 (ns)
O-SLu-u-sq-v-5-jBeta=-.00 ns
e MEDICAL TREATMENT/FITNESS: 
    Males:                Beta=-.00 (ns)
    Females:              Beta=-.00 (ns)
    Urban:                Beta=-.00 (ns)
    Rural:                Beta=-.00 (p<.05)
    Locals:               Beta=-.00 (ns)
    Migrants:             Beta=+.00 (ns)
O-SLu-u-sq-v-5-jBeta=+.02 p < .01
f TRANSPORTATION/COMMUNICATION:  
    Males:                Beta=+.02 (p<.01)
    Females:              Beta=+.01 (p<.01)
    Urban:                Beta=+.02 (p<.01)
    Rural:                Beta=+.02 (p<.01)
    Locals:               Beta=+.02 (p<.01))
    Migrants:             Beta=-.01 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 ns
g EDUCATION/ENTERTAINMENT:   
    Males:                Beta=+.00 (ns)
    Females:              Beta=-.00 (ns)
    Urban:                Beta=-.00 (ns)
    Rural:                Beta=+.00 (ns)
    Locals:               Beta=+.00 (ns)
    Migrants:             Beta=-.00 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 p < .05
h TRANSFERS:           
    Males:                Beta=+.00 (ns)
    Females:              Beta=+.00 (ns)
    Urban:                Beta=+.00 (ns)
    Rural:                Beta=+.00 (p<.05)
    Locals:               Beta=+.01 (p<.05))
    Migrants:             Beta=-.00 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 ns
i WELFARE:                
    Males:                Beta=+.02 (p<.05)
    Females:              Beta=-.00 (ns)
    Urban:                Beta=-.00 (ns)
    Rural:                Beta=+.02 (ns)
    Locals:               Beta=+.00 (ns)
    Migrants:             Beta=-.01 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 ns
j MORTGAGE:              
    Males:                Beta=+.00 (ns)
    Females:              Beta=+.00 (ns)
    Urban:                Beta=+.00 (ns)
    Rural:                Beta=-.00 (ns)
    Locals:               Beta=+.00 (ns)
    Migrants:             Beta=+.00 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 ns
k OTHERS:             
    Males:                Beta=+.00 (ns)
    Females:              Beta=-.00 (ns)
    Urban:                Beta=+.00 (ns)
    Rural:                Beta=-.00 (ns)
    Locals:               Beta=+.00 (ns)
    Migrants:             Beta=-.00 (ns)

All beta's controlled for:
- Individual characteristics:
  - age
  - age squared
  - marital status
  - schooling (years) 
  - urban vs. rural
  - health
  - health compared to 1 year ago
  - employment status
  - employment sector
  - occupation level
  - working hours
  - welfare entitlements
  - house ownership
  - housing type
  - social status at local level (self-assessed)
  - confidence in future
  - unfair treatment experienced
- Environment characteristics:
  - performance of county government
  - community type (residential or village)
  - economic condition of community
  - socio-economic homogenity of community
  - spaciousness of community
  - location of community(city,town,village or 
suburb)
  - time to get to nearest business center
  - region (east, west or central)

Similar results obtained in fixed effect analysis


Correlational finding on Happiness and Expenditures on..
Subject code: C09ab02

StudyNoll & Weick (2015): study DE 2010
TitleConsumption Expenditures and Subjective Well-Being: Emperical Evidence from Germany
SourceInternational Review of Economics, 2015, Vol. 62, 101 - 119
DOIDOI: 10.1007/s12232-015-0219-3
Public16+ aged, general public, Germany, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =30000

Correlate
Author's labelExpenditure on other things
Page in Source Table 4, 5
Our classificationExpenditures on.., code C09ab02
Operationalization
Selfreport on questions:
Did you or another household member make any 
expenditures on things other than:
- nutrition
- clothing 
- housing and energy
- furniture and housing facilities 
- health
- mobility 
- communication
- leisure
- education
- hotels and resraurants
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bdb=+.01 ns
B controlled for:
-Expenditures on:
 -Clothing
 -Housing and energy
 -Furniture and housing facilities
 -Health
 -Mobility
 -Communication
 -Leisure
 -Education
 -Hotels and restaurants
 -Nutrition
-Household size
O-SLW-c-sq-n-11-bdb=+.00 ns
B additionally controlled for
-Household net income
O-SLW-c-sq-n-11-bdb=+.00 ns
B additionally controlled for
-Region in Germany
-Age
-Marital status
-Education
-Employment status
-Self-rated health status


Correlational finding on Happiness and Expenditures on..
Subject code: C09ab02

StudyAnand et al. (2005): study GB 2000
TitleCapabilties and Well-Being: Evidence based on the Sen-Nussbaum Approach to Welfare.
SourceSocial Indicators Research, 2005, Vol. 74, 9 - 55
DOIDOI:10.1007/s11205-005-6518-z
Public16+ aged, general public, UK, 2000
SampleProbability stratified sample
Non-Response
Respondents N =12040

Correlate
Author's labelAfford holidays/new clothes/nourished
Page in Source 26-29
Our classificationExpenditures on.., code C09ab02
Operationalization
Selfreport on 3 questions:
A Holiday
  Would you like to be able to pay for a week's annual 
holiday away from home, but must do without because you 
cannot afford it?
1: No
0: Yes

B Buy new clothes
  Would you like to be able to buy new, rather than 
second hand, clothes, but must do without because you 
cannot afford it?
1: No
0: Yes

C Nourished
  Would you like to be able to eat meat, chicken, fish 
at least every second day, but must do without because 
you cannot afford it?
1: No
0: Yes

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-7-bb=+.22 p < .01
Holiday
 -Females
O-SLW-c-sq-n-7-bb=+.21 p < .01
 -Males
O-SLW-c-sq-n-7-bb=+.12 p < .05
Buy new clothes
 -Females
O-SLW-c-sq-n-7-bb=-.05 ns
 -Males
O-SLW-c-sq-n-7-bb=+.17 p < .05
Nourished
 -Females
O-SLW-c-sq-n-7-bb=+.24 p < .01
 -Males


B's controled for other aspects of capability:
- Opportunities for:
  - adequate nourishment
  - health limits
  - move to another house
  - car available
  - no vandalism or crime in the area
  - high education
- Mental problems: no more than usual
  - able to concentrate
  - sleep lost over worrying
  - feeling unhappy or depressed
  - strain
  - lose selfconfidence
- Control over life: no less than usual
  - capable of making decisions
  - able to overcome difficulties
  - able to face up to problems
- Being respected, no less than usual
  - think of yourself as worthless
  - played a usefull part in things
- Enjoy; no less tha usual
  - felt happy
  - enjoyed day-to-day activities
- Participate in society
  - able to work
- Satisfaction with life domains
  (residual variation: proxi for personality)
  - job
  - partner
  - health
  - house
  - household income
  - social life
  - leisure


Correlational finding on Happiness and Education
Subject code: C09ab02a

StudyNoll & Weick (2015): study DE 2010
TitleConsumption Expenditures and Subjective Well-Being: Emperical Evidence from Germany
SourceInternational Review of Economics, 2015, Vol. 62, 101 - 119
DOIDOI: 10.1007/s12232-015-0219-3
Public16+ aged, general public, Germany, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =30000

Correlate
Author's labelExpenditure on education
Page in Source Table 4, 5
Our classificationEducation, code C09ab02a
Operationalization
Selfreport on questions:
Did you or another household member make any of the 
education expenditures?
If yes: how much in total did these expenditures cost 
your household in 2009?
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bdb=+.05 p < .001
B controlled for:
-Expenditures on:
 -Clothing
 -Housing and energy
 -Furniture and housing facilities
 -Health
 -Mobility
 -Communication
 -Leisure
 -Nutrition
 -Hotels and restaurants
 -Other
-Household size
O-SLW-c-sq-n-11-bdb=+.05 p < .001
B additionally controlled for
-Household net income
O-SLW-c-sq-n-11-bdb=+.02 p < .01
B additionally controlled for
-Region in Germany
-Age
-Marital status
-Education
-Employment status
-Self-rated health status


Correlational finding on Happiness and Education
Subject code: C09ab02a

StudyDumludag (2015): study ZZ 2010
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, developed and transition nations, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =22671

Correlate
Author's labelExpenditures on education
Page in Source Table 2, 4, 6
Our classificationEducation, code C09ab02a
Operationalization
Selfreport on single question:
Approximately how much does your household spend on 
education annually?
Observed distributionDeveloped = 3.1%; CEB + SEE = 3.8%; CIS + M = 4.2%
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bbb=+.00 ns
Developed Countries
O-SLW-c-sq-n-11-bbb=+.02 p < .05
Transition (all)
O-SLW-c-sq-n-11-bbb=+.02 p < .05
Central Eastern Europe and the Baltic states 
(CEB), South East Europe (SEE)
O-SLW-c-sq-n-11-bbb=+.01 ns
The Commonwealth of Independent States and 
Mongolia (CIS+M)

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Health
-Education
-Country 
-Employment
-Income ladder
O-SLW-c-sq-n-11-bbb=+.06 ns
SPLIT-UP BY INCOME In developed nations

Income ladder 1-3
O-SLW-c-sq-n-11-bbb=-.01 ns
Income ladder 4-6
O-SLW-c-sq-n-11-bbb=-.01 ns
Income ladder 7-10
O-SLW-c-sq-n-11-bbb=+.04 p < .01
SPLIT-UP BY INCOME in transition nations (all)

Income ladder 1-3
O-SLW-c-sq-n-11-bbb=+.01 ns
Income ladder 4-6
O-SLW-c-sq-n-11-bbb=+.02 ns
Income ladder 7-10

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Health
-Education
-Country 
-Employment


Correlational finding on Happiness and Education
Subject code: C09ab02a

StudyDumludag (2015): study ZZ Various nation sets 2006
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, Trasition countries, 2006
SampleProbability simple random sample
Non-Response
Respondents N =16934

Correlate
Author's labelExpenditures on education
Page in Source Table 1, 3, 5
Our classificationEducation, code C09ab02a
Operationalization
Selfreport on single question:
During the past 30 days, approximately how much did 
your household spend on education?
Observed distributionTransition (all) = 3.6%; CEB + SEE = 3.7%; CIS + M = 3.4%

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-v-5-ub=-.01 p < .05
TRANSITION (ALL)
O-SLW-c-sq-v-5-ub=-.01 ns
CEB + SEE
O-SLW-c-sq-v-5-ub=-.01 ns
CIS + M

B's controlled for:
-Age
-Gender
-Household size
-Health
-Education
-Country 
-Employment
-Income ladder
O-SLW-c-sq-v-5-ub=-.02 ns
SPLIT-UP BY INCOME

Income ladder 1-3
O-SLW-c-sq-v-5-ub=-.01 ns
Income ladder 4-6
O-SLW-c-sq-v-5-ub=+.01 ns
Income ladder 7-10

B's controlled for:
-Age
-Gender
-Household size
-Health
-Education
-Country 
-Employment


Correlational finding on Happiness and Education
Subject code: C09ab02a

StudyGokdemir (2015): study TR 2010
TitleConsumption, Savings and Life Satisfaction: the Turkish Case
SourceInternational Review of Economics, 2015, Vol. 62, 183 - 196
DOIDOI: 10.1007/s12232-015-0227-y
Public18+ aged, general public, Turkey, 2010
SampleProbability multi-stage random
Non-Response4.79%
Respondents N =955

Correlate
Author's labelExpenditure on education
Page in Source Table 4, 5, 6
Our classificationEducation, code C09ab02a
Operationalization
Selfreport on single question:
How much do your household spend on education during 
the past 12 months?
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bbb=+.03 ns
ALL
O-SLW-c-sq-n-11-bbb=+.04 ns
FEMALES
O-SLW-c-sq-n-11-bbb=-.02 ns
MALES

B's controlled for:
-Age
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Income ladder
-Marital status
-Employment status
O-SLW-c-sq-n-11-bbb=+.11 p < .05
AGE 18-30
O-SLW-c-sq-n-11-bbb=+.03 ns
AGE 31-50
O-SLW-c-sq-n-11-bbb=+.01 ns
AGE 51 OR OVER

B's controlled for:
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Income ladder
-Marital status
-Employment status
O-SLW-c-sq-n-11-bbb=+.03 ns
INCOME LADDER 1-5
O-SLW-c-sq-n-11-bbb=+.05 ns
INCOME LADDER 6-10

B's controlled for:
-Age
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Marital status
-Employment status


Correlational finding on Happiness and Clothing
Subject code: C09ab02b

StudyNoll & Weick (2015): study DE 2010
TitleConsumption Expenditures and Subjective Well-Being: Emperical Evidence from Germany
SourceInternational Review of Economics, 2015, Vol. 62, 101 - 119
DOIDOI: 10.1007/s12232-015-0219-3
Public16+ aged, general public, Germany, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =30000

Correlate
Author's labelExpenditure on clothing
Page in Source Table 4, 5
Our classificationClothing, code C09ab02b
Operationalization
Selfreport on questions:
Did you or another household member make any of the 
clothing expenditures?
If yes: how much in total did these expenditures cost 
your household in 2009?
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bdb=+.13 p < .001
B controlled for:
-Expenditures on:
 -Nutrition
 -Housing and energy
 -Furniture and housing facilities
 -Health
 -Mobility
 -Communication
 -Leisure
 -Education
 -Hotels and restaurants
 -Other
-Household size
O-SLW-c-sq-n-11-bdb=+.11 p < .001
B additionally controlled for
-Household net income
O-SLW-c-sq-n-11-bdb=+.08 p < .001
B additionally controlled for
-Region in Germany
-Age
-Marital status
-Education
-Employment status
-Self-rated health status


Correlational finding on Happiness and Clothing
Subject code: C09ab02b

StudyDumludag (2015): study ZZ 2010
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, developed and transition nations, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =22671

Correlate
Author's labelExpenditures on clothing and footwear
Page in Source Table 2, 4, 6
Our classificationClothing, code C09ab02b
Operationalization
Selfreport on single question:
Approximately how much does your household spend on 
clothing and footwear annually?
Observed distributionDeveloped = 5.3%; CEB + SEE = 4.7%; CIS + M = 8.6%
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bbb=+.08 p < .01
Developed Countries
O-SLW-c-sq-n-11-bbb=+.08 p < .01
Transition (all)
O-SLW-c-sq-n-11-bbb=+.10 p < .01
Central Eastern Europe and the Baltic states 
(CEB), South East Europe (SEE)
O-SLW-c-sq-n-11-bbb=+.02 ns
The Commonwealth of Independent States and 
Mongolia (CIS+M)

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Health
-Education
-Country 
-Employment
-Income ladder
O-SLW-c-sq-n-11-bbb=+.12 ns
SPLIT-UP BY INCOME In developed nations

Income ladder 1-3
O-SLW-c-sq-n-11-bbb=+.07 p < .05
Income ladder 4-6
O-SLW-c-sq-n-11-bbb=+.20 p < .01
Income ladder 7-10
O-SLW-c-sq-n-11-bbb=+.10 p < .01
SPLIT-UP BY INCOME in transition nations (all)

Income ladder 1-3
O-SLW-c-sq-n-11-bbb=+.10 p < .01
Income ladder 4-6
O-SLW-c-sq-n-11-bbb=-.04 ns
Income ladder 7-10

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Health
-Education
-Country 
-Employment


Correlational finding on Happiness and Clothing
Subject code: C09ab02b

StudyDumludag (2015): study ZZ Various nation sets 2006
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, Trasition countries, 2006
SampleProbability simple random sample
Non-Response
Respondents N =16934

Correlate
Author's labelExpenditures on clothing and footwear
Page in Source Table 1, 3, 5
Our classificationClothing, code C09ab02b
Operationalization
Selfreport on single question:
During the past 30 days, approximately how much did 
your household spend on clothing and footwear?
Observed distributionTransition (all) = 15.7%; CEB + SEE = 13.5%; CIS + M = 23.1%
Error EstimatesCEB: Central Eastern Europe and the Baltic states; SEE: South East Europe; CIS: The Commonwealth of Independent States; M: Mongolia

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-v-5-ub=+.02 p < .01
TRANSITION (ALL)
O-SLW-c-sq-v-5-ub=+.00 ns
CEB + SEE
O-SLW-c-sq-v-5-ub=+.04 p < .01
CIS + M

B's controlled for:
-Age
-Gender
-Household size
-Health
-Education
-Country 
-Employment
-Income ladder
O-SLW-c-sq-v-5-ub=+.02 p < .01
SPLIT-UP BY INCOME

Income ladder 1-3
O-SLW-c-sq-v-5-ub=+.02 p < .01
Income ladder 4-6
O-SLW-c-sq-v-5-ub=+.02 ns
Income ladder 7-10

B's controlled for:
-Age
-Gender
-Household size
-Health
-Education
-Country 
-Employment


Correlational finding on Happiness and Clothing
Subject code: C09ab02b

StudyGokdemir (2015): study TR 2010
TitleConsumption, Savings and Life Satisfaction: the Turkish Case
SourceInternational Review of Economics, 2015, Vol. 62, 183 - 196
DOIDOI: 10.1007/s12232-015-0227-y
Public18+ aged, general public, Turkey, 2010
SampleProbability multi-stage random
Non-Response4.79%
Respondents N =955

Correlate
Author's labelExpenditure on clothing and footwear
Page in Source Table 4, 5, 6
Our classificationClothing, code C09ab02b
Operationalization
Selfreport on single question:
How much do your household spend on clothing and 
footwear during the past 12 months?
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bbb=-.04 ns
ALL
O-SLW-c-sq-n-11-bbb=-.10 p < .05
FEMALES
O-SLW-c-sq-n-11-bbb=+.05 ns
MALES

B's controlled for:
-Age
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Income ladder
-Marital status
-Employment status
O-SLW-c-sq-n-11-bbb=-.03 ns
AGE 18-30
O-SLW-c-sq-n-11-bbb=-.09 ns
AGE 31-50
O-SLW-c-sq-n-11-bbb=-.04 ns
AGE 51 OR OVER

B's controlled for:
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Income ladder
-Marital status
-Employment status
O-SLW-c-sq-n-11-bbb=-.00 ns
INCOME LADDER 1-5
O-SLW-c-sq-n-11-bbb=-.10 ns
INCOME LADDER 6-10

B's controlled for:
-Age
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Marital status
-Employment status


Correlational finding on Happiness and Durables
Subject code: C09ab02c

StudyNoll & Weick (2015): study DE 2010
TitleConsumption Expenditures and Subjective Well-Being: Emperical Evidence from Germany
SourceInternational Review of Economics, 2015, Vol. 62, 101 - 119
DOIDOI: 10.1007/s12232-015-0219-3
Public16+ aged, general public, Germany, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =30000

Correlate
Author's labelExpenditure on Furniture and housing facilities
Page in Source Table 4, 5
Our classificationDurables, code C09ab02c
Operationalization
Selfreport on questions:
Did you or another household member make any of the 
furniture and housing facilities expenditures?
If yes: how much in total did these expenditures cost 
your household in 2009?
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bdb=+.01 ns
B controlled for:
-Expenditures on:
 -Clothing
 -Housing and energy
 -Nutrition
 -Health
 -Mobility
 -Communication
 -Leisure
 -Education
 -Hotels and restaurants
 -Other
-Household size
O-SLW-c-sq-n-11-bdb=+.01 ns
B additionally controlled for
-Household net income
O-SLW-c-sq-n-11-bdb=+.00 ns
B additionally controlled for
-Region in Germany
-Age
-Marital status
-Education
-Employment status
-Self-rated health status


Correlational finding on Happiness and Durables
Subject code: C09ab02c

StudyDumludag (2015): study ZZ 2010
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, developed and transition nations, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =22671

Correlate
Author's labelExpenditures on durable goods
Page in Source Table 2, 4, 6
Our classificationDurables, code C09ab02c
Operationalization
Selfreport on single question:
Approximately how much does your household spend on 
durable goods annually?
Observed distributionDeveloped = 15.8%; CEB + SEE = 4.9%; CIS + M = 5.3%
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bbb=+.03 p < .01
Developed Countries
O-SLW-c-sq-n-11-bbb=+.04 p < .01
Transition (all)
O-SLW-c-sq-n-11-bbb=+.03 p < .01
Central Eastern Europe and the Baltic states 
(CEB), South East Europe (SEE)
O-SLW-c-sq-n-11-bbb=+.05 p < .01
The Commonwealth of Independent States and 
Mongolia (CIS+M)

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Health
-Education
-Country 
-Employment
-Income ladder
O-SLW-c-sq-n-11-bbb=+.03 ns
SPLIT-UP BY INCOME In developed nations

Income ladder 1-3
O-SLW-c-sq-n-11-bbb=+.02 ns
Income ladder 4-6
O-SLW-c-sq-n-11-bbb=+.02 ns
Income ladder 7-10
O-SLW-c-sq-n-11-bbb=+.06 p < .01
SPLIT-UP BY INCOME in transition nations (all)

Income ladder 1-3
O-SLW-c-sq-n-11-bbb=+.04 p < .01
Income ladder 4-6
O-SLW-c-sq-n-11-bbb=+.03 ns
Income ladder 7-10

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Health
-Education
-Country 
-Employment


Correlational finding on Happiness and Durables
Subject code: C09ab02c

StudyDumludag (2015): study ZZ Various nation sets 2006
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, Trasition countries, 2006
SampleProbability simple random sample
Non-Response
Respondents N =16934

Correlate
Author's labelExpenditures on durable goods
Page in Source Table 1, 3, 5
Our classificationDurables, code C09ab02c
Operationalization
Selfreport on single question:
During the past 30 days, approximately how much did 
your household spend on durable goods?
Observed distributionTransition (all) = 6.1%; CEB + SEE = 6.5%; CIS + M = 4.1%

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-v-5-ub=+.02 p < .01
TRANSITION (ALL)
O-SLW-c-sq-v-5-ub=+.02 p < .01
CEB + SEE
O-SLW-c-sq-v-5-ub=+.03 p < .01
CIS + M

B's controlled for:
-Age
-Gender
-Household size
-Health
-Education
-Country 
-Employment
-Income ladder
O-SLW-c-sq-v-5-ub=+.03 p < .01
SPLIT-UP BY INCOME

Income ladder 1-3
O-SLW-c-sq-v-5-ub=+.02 p < .01
Income ladder 4-6
O-SLW-c-sq-v-5-ub=+.03 p < .01
Income ladder 7-10

B's controlled for:
-Age
-Gender
-Household size
-Health
-Education
-Country 
-Employment


Correlational finding on Happiness and Durables
Subject code: C09ab02c

StudyGokdemir (2015): study TR 2010
TitleConsumption, Savings and Life Satisfaction: the Turkish Case
SourceInternational Review of Economics, 2015, Vol. 62, 183 - 196
DOIDOI: 10.1007/s12232-015-0227-y
Public18+ aged, general public, Turkey, 2010
SampleProbability multi-stage random
Non-Response4.79%
Respondents N =955

Correlate
Author's labelExpenditure on durable goods
Page in Source Table 4, 5, 6
Our classificationDurables, code C09ab02c
Operationalization
Selfreport on single question:
How much do your household spend on durable goods 
during the past 12 months?
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bbb=+.12 p < .01
ALL
O-SLW-c-sq-n-11-bbb=+.14 p < .01
FEMALES
O-SLW-c-sq-n-11-bbb=+.11 p < .01
MALES

B's controlled for:
-Age
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Income ladder
-Marital status
-Employment status
O-SLW-c-sq-n-11-bbb=+.09 p < .05
AGE 18-30
O-SLW-c-sq-n-11-bbb=+.13 p < .05
AGE 31-50
O-SLW-c-sq-n-11-bbb=+.19 p < .01
AGE 51 OR OVER

B's controlled for:
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Income ladder
-Marital status
-Employment status
O-SLW-c-sq-n-11-bbb=+.14 p < .01
INCOME LADDER 1-5
O-SLW-c-sq-n-11-bbb=+.14 p < .01
INCOME LADDER 6-10

B's controlled for:
-Age
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Marital status
-Employment status


Correlational finding on Happiness and Experiences
Subject code: C09ab02d

StudyNoll & Weick (2015): study DE 2010
TitleConsumption Expenditures and Subjective Well-Being: Emperical Evidence from Germany
SourceInternational Review of Economics, 2015, Vol. 62, 101 - 119
DOIDOI: 10.1007/s12232-015-0219-3
Public16+ aged, general public, Germany, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =30000

Correlate
Author's labelExpenditure on hotels and restaurants
Page in Source Table 4, 5
Our classificationExperiences, code C09ab02d
Operationalization
Selfreport on questions:
Did you or another household member make any of the 
hotels and restaurants expenditures?
If yes: how much in total did these expenditures cost 
your household in 2009?
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bdb=+.06 p < .001
B controlled for:
-Expenditures on:
 -Clothing
 -Housing and energy
 -Furniture and housing facilities
 -Health
 -Mobility
 -Communication
 -Leisure
 -Education
 -Nutrition
 -Other
-Household size
O-SLW-c-sq-n-11-bdb=+.04 p < .001
B additionally controlled for
-Household net income
O-SLW-c-sq-n-11-bdb=+.01 ns
B additionally controlled for
-Region in Germany
-Age
-Marital status
-Education
-Employment status
-Self-rated health status


Correlational finding on Happiness and Health
Subject code: C09ab02e

StudyWang et al. (2015): study CN 2010
TitleDoes Consuming More Make You Happier? Evidence from Chinese Panel Data.
SourceMonash DOE Working Paper, 2015, No. 29, 1 - 26
URLhttp://www.researchgate.net/publication/277004500_Does_Consuming_More_Make_You_Happier_Evidence_from_Chinese_Panel_Data
Public18+ aged, general public, China, 2010-2012
SampleProbability multistage stratified area sample
Non-Response
Respondents N =61009

Correlate
Author's labelSpecific consumption categories
Page in Source 7,8,9,23
Our classificationHealth, code C09ab02e
Operationalization
Annual consumption expenditures per capita on :
a food
b dress/clothing
c housing
d necessities
e medical treatment and fitness
f  transportation and communication
g education and entertainment
h transfers
I welfare
m mortgage
n other
Remarks
in RMB in 2010 prices

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLu-u-sq-v-5-jBeta=+.00 ns
a FOOD
O-SLu-u-sq-v-5-jBeta=+.02 p < .01
b CLOTHING:              
    Males:                Beta=+.05 (p<.01)
    Females:              Beta=+.00 (ns)
    Urban:                Beta=+.02 (ns)
    Rural:                Beta=+.02 (ns)
    Locals:               Beta=+.04 (p<.01)
    Migrants:             Beta=-.02 (ns)
O-SLu-u-sq-v-5-jBeta=-.00 ns
c HOUSING:              
    Males:                Beta=-.00 (ns)
    Females:              Beta=+.00 (ns)
    Urban:                Beta=-.00 (ns)
    Rural:                Beta=+.00 (ns)
    Locals:               Beta=-.00 (ns)
    Migrants:             Beta=-.01 (ns)
O-SLu-u-sq-v-5-jBeta=-.00 ns
d NECESSITIES:           
    Males:                Beta=-.00 (ns)
    Females:              Beta=-.00 (ns)
    Urban:                Beta=-.00 (ns)
    Rural:                Beta=-.00 (ns)
    Locals:               Beta=-.00 (ns)
    Migrants:             Beta=+.00 (ns)
O-SLu-u-sq-v-5-jBeta=-.00 ns
e MEDICAL TREATMENT/FITNESS: 
    Males:                Beta=-.00 (ns)
    Females:              Beta=-.00 (ns)
    Urban:                Beta=-.00 (ns)
    Rural:                Beta=-.00 (p<.05)
    Locals:               Beta=-.00 (ns)
    Migrants:             Beta=+.00 (ns)
O-SLu-u-sq-v-5-jBeta=+.02 p < .01
f TRANSPORTATION/COMMUNICATION:  
    Males:                Beta=+.02 (p<.01)
    Females:              Beta=+.01 (p<.01)
    Urban:                Beta=+.02 (p<.01)
    Rural:                Beta=+.02 (p<.01)
    Locals:               Beta=+.02 (p<.01))
    Migrants:             Beta=-.01 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 ns
g EDUCATION/ENTERTAINMENT:   
    Males:                Beta=+.00 (ns)
    Females:              Beta=-.00 (ns)
    Urban:                Beta=-.00 (ns)
    Rural:                Beta=+.00 (ns)
    Locals:               Beta=+.00 (ns)
    Migrants:             Beta=-.00 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 p < .05
h TRANSFERS:           
    Males:                Beta=+.00 (ns)
    Females:              Beta=+.00 (ns)
    Urban:                Beta=+.00 (ns)
    Rural:                Beta=+.00 (p<.05)
    Locals:               Beta=+.01 (p<.05))
    Migrants:             Beta=-.00 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 ns
i WELFARE:                
    Males:                Beta=+.02 (p<.05)
    Females:              Beta=-.00 (ns)
    Urban:                Beta=-.00 (ns)
    Rural:                Beta=+.02 (ns)
    Locals:               Beta=+.00 (ns)
    Migrants:             Beta=-.01 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 ns
j MORTGAGE:              
    Males:                Beta=+.00 (ns)
    Females:              Beta=+.00 (ns)
    Urban:                Beta=+.00 (ns)
    Rural:                Beta=-.00 (ns)
    Locals:               Beta=+.00 (ns)
    Migrants:             Beta=+.00 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 ns
k OTHERS:             
    Males:                Beta=+.00 (ns)
    Females:              Beta=-.00 (ns)
    Urban:                Beta=+.00 (ns)
    Rural:                Beta=-.00 (ns)
    Locals:               Beta=+.00 (ns)
    Migrants:             Beta=-.00 (ns)

All beta's controlled for:
- Individual characteristics:
  - age
  - age squared
  - marital status
  - schooling (years) 
  - urban vs. rural
  - health
  - health compared to 1 year ago
  - employment status
  - employment sector
  - occupation level
  - working hours
  - welfare entitlements
  - house ownership
  - housing type
  - social status at local level (self-assessed)
  - confidence in future
  - unfair treatment experienced
- Environment characteristics:
  - performance of county government
  - community type (residential or village)
  - economic condition of community
  - socio-economic homogenity of community
  - spaciousness of community
  - location of community(city,town,village or 
suburb)
  - time to get to nearest business center
  - region (east, west or central)

Similar results obtained in fixed effect analysis


Correlational finding on Happiness and Housing
Subject code: C09ab02f

StudyMichalos et al. (2001): study CA British Columbia 1999
TitleHealth and Other Aspects of the Quality of Life of Older People.
SourceSocial Indicators Research, 2001, Vol. 54, 239 - 274
DOIDOI: 10.1023/A:1011045307643
Public55-95 aged, Northern Interior Health Region, British Columbia, Canada, 1999
SampleNon-probability accidental sample
Non-Response
Respondents N =875

Correlate
Author's label% income spent on housing costs
Page in Source 258
Our classificationHousing, code C09ab02f
Operationalization
not reported

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-v-7-gBeta=-.13
Beta controlled for:
 - Physical age identity
 - Difficulties with housing costs
 - Living area
 - Personal worries
 - Ideal age preference


Correlational finding on Happiness and Housing
Subject code: C09ab02f

StudyWang et al. (2015): study CN 2010
TitleDoes Consuming More Make You Happier? Evidence from Chinese Panel Data.
SourceMonash DOE Working Paper, 2015, No. 29, 1 - 26
URLhttp://www.researchgate.net/publication/277004500_Does_Consuming_More_Make_You_Happier_Evidence_from_Chinese_Panel_Data
Public18+ aged, general public, China, 2010-2012
SampleProbability multistage stratified area sample
Non-Response
Respondents N =61009

Correlate
Author's labelSpecific consumption categories
Page in Source 7,8,9,23
Our classificationHousing, code C09ab02f
Operationalization
Annual consumption expenditures per capita on :
a food
b dress/clothing
c housing
d necessities
e medical treatment and fitness
f  transportation and communication
g education and entertainment
h transfers
I welfare
m mortgage
n other
Remarks
in RMB in 2010 prices

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLu-u-sq-v-5-jBeta=+.00 ns
a FOOD
O-SLu-u-sq-v-5-jBeta=+.02 p < .01
b CLOTHING:              
    Males:                Beta=+.05 (p<.01)
    Females:              Beta=+.00 (ns)
    Urban:                Beta=+.02 (ns)
    Rural:                Beta=+.02 (ns)
    Locals:               Beta=+.04 (p<.01)
    Migrants:             Beta=-.02 (ns)
O-SLu-u-sq-v-5-jBeta=-.00 ns
c HOUSING:              
    Males:                Beta=-.00 (ns)
    Females:              Beta=+.00 (ns)
    Urban:                Beta=-.00 (ns)
    Rural:                Beta=+.00 (ns)
    Locals:               Beta=-.00 (ns)
    Migrants:             Beta=-.01 (ns)
O-SLu-u-sq-v-5-jBeta=-.00 ns
d NECESSITIES:           
    Males:                Beta=-.00 (ns)
    Females:              Beta=-.00 (ns)
    Urban:                Beta=-.00 (ns)
    Rural:                Beta=-.00 (ns)
    Locals:               Beta=-.00 (ns)
    Migrants:             Beta=+.00 (ns)
O-SLu-u-sq-v-5-jBeta=-.00 ns
e MEDICAL TREATMENT/FITNESS: 
    Males:                Beta=-.00 (ns)
    Females:              Beta=-.00 (ns)
    Urban:                Beta=-.00 (ns)
    Rural:                Beta=-.00 (p<.05)
    Locals:               Beta=-.00 (ns)
    Migrants:             Beta=+.00 (ns)
O-SLu-u-sq-v-5-jBeta=+.02 p < .01
f TRANSPORTATION/COMMUNICATION:  
    Males:                Beta=+.02 (p<.01)
    Females:              Beta=+.01 (p<.01)
    Urban:                Beta=+.02 (p<.01)
    Rural:                Beta=+.02 (p<.01)
    Locals:               Beta=+.02 (p<.01))
    Migrants:             Beta=-.01 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 ns
g EDUCATION/ENTERTAINMENT:   
    Males:                Beta=+.00 (ns)
    Females:              Beta=-.00 (ns)
    Urban:                Beta=-.00 (ns)
    Rural:                Beta=+.00 (ns)
    Locals:               Beta=+.00 (ns)
    Migrants:             Beta=-.00 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 p < .05
h TRANSFERS:           
    Males:                Beta=+.00 (ns)
    Females:              Beta=+.00 (ns)
    Urban:                Beta=+.00 (ns)
    Rural:                Beta=+.00 (p<.05)
    Locals:               Beta=+.01 (p<.05))
    Migrants:             Beta=-.00 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 ns
i WELFARE:                
    Males:                Beta=+.02 (p<.05)
    Females:              Beta=-.00 (ns)
    Urban:                Beta=-.00 (ns)
    Rural:                Beta=+.02 (ns)
    Locals:               Beta=+.00 (ns)
    Migrants:             Beta=-.01 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 ns
j MORTGAGE:              
    Males:                Beta=+.00 (ns)
    Females:              Beta=+.00 (ns)
    Urban:                Beta=+.00 (ns)
    Rural:                Beta=-.00 (ns)
    Locals:               Beta=+.00 (ns)
    Migrants:             Beta=+.00 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 ns
k OTHERS:             
    Males:                Beta=+.00 (ns)
    Females:              Beta=-.00 (ns)
    Urban:                Beta=+.00 (ns)
    Rural:                Beta=-.00 (ns)
    Locals:               Beta=+.00 (ns)
    Migrants:             Beta=-.00 (ns)

All beta's controlled for:
- Individual characteristics:
  - age
  - age squared
  - marital status
  - schooling (years) 
  - urban vs. rural
  - health
  - health compared to 1 year ago
  - employment status
  - employment sector
  - occupation level
  - working hours
  - welfare entitlements
  - house ownership
  - housing type
  - social status at local level (self-assessed)
  - confidence in future
  - unfair treatment experienced
- Environment characteristics:
  - performance of county government
  - community type (residential or village)
  - economic condition of community
  - socio-economic homogenity of community
  - spaciousness of community
  - location of community(city,town,village or 
suburb)
  - time to get to nearest business center
  - region (east, west or central)

Similar results obtained in fixed effect analysis


Correlational finding on Happiness and Housing
Subject code: C09ab02f

StudyRehdanz & Maddison (2009): study XZ Germany West 1994
TitleLocal Environmental Quality and Life-Satisfaction in Germany.
SourceEcological Economics, Vol. 64, 787 - 797
DOIDOI:10.1016/j.ecolecon.2007.04.016
PublicAdults, general public, West-Germany, 1994-2004
SampleProbability stratified sample
Non-Responsena
Respondents N =23014

Correlate
Author's labelMonthly housing expenses
Page in Source 792
Our classificationHousing, code C09ab02f
Operationalization
Self report of housing expenses per 100 euro

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-dOPRC=- p < .01
OPRC (-.00006822) per euro

OPRC controled for:
- affected by noise and air pollution 
- socio-economic characteristics
- demographic characteristics
- housing characteristics
- residential characteristics

OPRC cannot be interpreted as an absolute effect 
size. OPRC means only that more housing 
expenditures goes with less happiness


Correlational finding on Happiness and Housing
Subject code: C09ab02f

StudyNoll & Weick (2015): study DE 2010
TitleConsumption Expenditures and Subjective Well-Being: Emperical Evidence from Germany
SourceInternational Review of Economics, 2015, Vol. 62, 101 - 119
DOIDOI: 10.1007/s12232-015-0219-3
Public16+ aged, general public, Germany, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =30000

Correlate
Author's labelExpenditure on housing and energy
Page in Source Table 4, 5
Our classificationHousing, code C09ab02f
Operationalization
Selfreport on questions:
Did you or another household member make any of the 
housing and energy expenditures?
If yes: how much in total did these expenditures cost 
your household in 2009?
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bdb=-.03 p < .01
B controlled for:
-Expenditures on:
 -Clothing
 -Nutrition
 -Furniture and housing facilities
 -Health
 -Mobility
 -Communication
 -Leisure
 -Education
 -Hotels and restaurants
 -Other
-Household size
O-SLW-c-sq-n-11-bdb=-.04 p < .001
B additionally controlled for
-Household net income
O-SLW-c-sq-n-11-bdb=-.03 p < .01
B additionally controlled for
-Region in Germany
-Age
-Marital status
-Education
-Employment status
-Self-rated health status


Correlational finding on Happiness and Housing
Subject code: C09ab02f

StudyNoll & Weick (2015): study DE 2010
TitleConsumption Expenditures and Subjective Well-Being: Emperical Evidence from Germany
SourceInternational Review of Economics, 2015, Vol. 62, 101 - 119
DOIDOI: 10.1007/s12232-015-0219-3
Public16+ aged, general public, Germany, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =30000

Correlate
Author's labelExpenditure on Furniture and housing facilities
Page in Source Table 4, 5
Our classificationHousing, code C09ab02f
Operationalization
Selfreport on questions:
Did you or another household member make any of the 
furniture and housing facilities expenditures?
If yes: how much in total did these expenditures cost 
your household in 2009?
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bdb=+.01 ns
B controlled for:
-Expenditures on:
 -Clothing
 -Housing and energy
 -Nutrition
 -Health
 -Mobility
 -Communication
 -Leisure
 -Education
 -Hotels and restaurants
 -Other
-Household size
O-SLW-c-sq-n-11-bdb=+.01 ns
B additionally controlled for
-Household net income
O-SLW-c-sq-n-11-bdb=+.00 ns
B additionally controlled for
-Region in Germany
-Age
-Marital status
-Education
-Employment status
-Self-rated health status


Correlational finding on Happiness and Housing
Subject code: C09ab02f

StudyRichards (2001): study ZA ZA: Eastern Cape 2001
TitleHow to Measure Quality of Life in Diverse Population.
SourcePaper 4th Conference International Society for Quality of Life Studies, 2001, Washington DC, USA
Publicadults, general public, Buffalo City, South Africa, 2001
SampleProbability sample (unspecified)
Non-Response
Respondents N =2477

Correlate
Author's labelToilet Facility
Page in Source 20
Our classificationHousing, code C09ab02f
Operationalization
self-report on toilet facilities:
a none
b flush
c septic
d improved pit latrine
e basic pit latrine
f chemical
g other
Observed distributionN= a:28, b:66, c: 6, d:14, e:138, f:18, g:4

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-v-5-gD%=
% satisfied (vs. dissatisfied)
a: 17.5
b: 44.1
c: 37.5
d: 21.5
e: 25.9
f: 11.5
g: 10.8


Correlational finding on Happiness and Housing
Subject code: C09ab02f

StudyRichards (2001): study ZA ZA: Eastern Cape 2001
TitleHow to Measure Quality of Life in Diverse Population.
SourcePaper 4th Conference International Society for Quality of Life Studies, 2001, Washington DC, USA
Publicadults, general public, Buffalo City, South Africa, 2001
SampleProbability sample (unspecified)
Non-Response
Respondents N =2477

Correlate
Author's labelWater Source
Page in Source 20
Our classificationHousing, code C09ab02f
Operationalization
self-report on water source:
a piped full pressure
b piped from roof tank
c ground tanks next to house
d standpipes
e borehole/rainwater tank/well
f dam/river/stream/spring
g other
Observed distributionN= a:639, b:31, c:1, d:182, e:6, f: 10, g: 3

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-v-5-gD%=
% satisfied (vs. dissatisfied)
a: 45.6
b: 48.4
c:  9.1
d: 21.0
e: 50.0
f: 12.5
g: 15.0


Correlational finding on Happiness and Leisure
Subject code: C09ab02g

StudyNoll & Weick (2015): study DE 2010
TitleConsumption Expenditures and Subjective Well-Being: Emperical Evidence from Germany
SourceInternational Review of Economics, 2015, Vol. 62, 101 - 119
DOIDOI: 10.1007/s12232-015-0219-3
Public16+ aged, general public, Germany, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =30000

Correlate
Author's labelExpenditure on leisure
Page in Source Table 4, 5
Our classificationLeisure, code C09ab02g
Operationalization
Selfreport on questions:
Did you or another household member make any of the 
leisure expenditures?
If yes: how much in total did these expenditures cost 
your household in 2009?
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bdb=+.18 p < .001
B controlled for:
-Expenditures on:
 -Clothing
 -Housing and energy
 -Furniture and housing facilities
 -Health
 -Mobility
 -Communication
 -Nutrition
 -Education
 -Hotels and restaurants
 -Other
-Household size
O-SLW-c-sq-n-11-bdb=+.16 p < .001
B additionally controlled for
-Household net income
O-SLW-c-sq-n-11-bdb=+.11 p < .001
B additionally controlled for
-Region in Germany
-Age
-Marital status
-Education
-Employment status
-Self-rated health status


Correlational finding on Happiness and Leisure
Subject code: C09ab02g

StudyNoll & Weick (2015): study DE 2010
TitleConsumption Expenditures and Subjective Well-Being: Emperical Evidence from Germany
SourceInternational Review of Economics, 2015, Vol. 62, 101 - 119
DOIDOI: 10.1007/s12232-015-0219-3
Public16+ aged, general public, Germany, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =30000

Correlate
Author's labelExpenditure on hotels and restaurants
Page in Source Table 4, 5
Our classificationLeisure, code C09ab02g
Operationalization
Selfreport on questions:
Did you or another household member make any of the 
hotels and restaurants expenditures?
If yes: how much in total did these expenditures cost 
your household in 2009?
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bdb=+.06 p < .001
B controlled for:
-Expenditures on:
 -Clothing
 -Housing and energy
 -Furniture and housing facilities
 -Health
 -Mobility
 -Communication
 -Leisure
 -Education
 -Nutrition
 -Other
-Household size
O-SLW-c-sq-n-11-bdb=+.04 p < .001
B additionally controlled for
-Household net income
O-SLW-c-sq-n-11-bdb=+.01 ns
B additionally controlled for
-Region in Germany
-Age
-Marital status
-Education
-Employment status
-Self-rated health status


Correlational finding on Happiness and Leisure
Subject code: C09ab02g

StudyDumludag (2015): study ZZ Various nation sets 2006
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, Trasition countries, 2006
SampleProbability simple random sample
Non-Response
Respondents N =16934

Correlate
Author's labelExpenditures on recreation, entertainment and meals outside, etc.
Page in Source Table 1, 3, 5
Our classificationLeisure, code C09ab02g
Operationalization
Selfreport on single question:
During the past 30 days, approximately how much did 
your household spend on recreation, entertainment and 
meals outside, etc.?
Observed distributionTransition (all) = 6.1%; CEB + SEE = 6.1%; CIS + M = 6.1%

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-v-5-ub=+.02 p < .01
TRANSITION (ALL)
O-SLW-c-sq-v-5-ub=+.03 p < .01
CEB + SEE
O-SLW-c-sq-v-5-ub=+.02 p < .01
CIS + M

B's controlled for:
-Age
-Gender
-Household size
-Health
-Education
-Country 
-Employment
-Income ladder
O-SLW-c-sq-v-5-ub=+.03 p < .01
SPLIT-UP BY INCOME

Income ladder 1-3
O-SLW-c-sq-v-5-ub=+.03 p < .01
Income ladder 4-6
O-SLW-c-sq-v-5-ub=+.04 p < .01
Income ladder 7-10

B's controlled for:
-Age
-Gender
-Household size
-Health
-Education
-Country 
-Employment


Correlational finding on Happiness and Holiday travel
Subject code: C09ab02ga

StudyVanBeuningen & Kloosterman (2011): study NL 2009
TitleSubjectief Welzijn: Welke Factoren spelen een Rol? (Subjective Well-Being, Which Factores are Important?)
SourceBevolkingstrends, 4e kwartaal 2011, Central Bureau for Statistics (CBS), Netherlands
URLhttps://www.cbs.nl/NR/rdonlyres/50FF24EA-D783-40E4-B13C-9D7CAF89E8E7/0/2011k4p85b15art.pdf
Publicaged 18+, Netherlands, 2009
SampleProbability multi-stage random
Non-Response
Respondents N =6878

Correlate
Author's labelHoliday
Page in Source 89
Our classificationHoliday travel, code C09ab02ga
Operationalization
0: not on holiday
1: 1x on holiday
2: 2x or more on holiday

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HP-u-sq-v-5-dD%=+
0: 78%
1: 89%
2: 94%
O-SLL-c-sq-v-5-dD%=+
0: 77%
1: 87%
2: 93%
O-HP-u-sq-v-5-db=+.37
O-SLL-c-sq-v-5-db=+.29
B's controled for:
- household income per year
- financial independancy
- health
- scholing
- socio-economic category
- trust in parliament
- participation in societies
- contact with family
- contact with friends
- social trust
- having partner
- children in household
- feelings in unsafety
- community feeling
- urbanity
- age
- sex


Correlational finding on Happiness and Luxury
Subject code: C09ab02h

StudyHaisken-DeNew & Sinning (2010): study DE West Germany 2000
TitleSocial Deprivation of Immigrants in Germany.
SourceReview of Income and Wealth, 2010, Vol 56, 715 -733
DOIDOI: 10.1111/j.1475-4991.2010.00417.x
Public16+ aged, general public, West Germany, Germany, followed 5 years, 2000-2004
SampleProbability stratified sample
Non-Response
Respondents N =33186

Correlate
Author's labelConsumer durables
Page in Source 723, 725
Our classificationLuxury, code C09ab02h
Operationalization
A) 
1: PC in household
0: otherwise

B) 
1: stereo in household
0: otherwise

C)
1: dishwasher in household
0: otherwise
Observed distributionA1) 63.9%, B1) 82.2%, C1) 68.3%

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-db=+.11 p < .01
CHANGE in happines by CHANGE in having a pc
O-SLW-c-sq-n-11-db=+.21 p < .01
CHANGE in happines by CHANGE in having a stereo
O-SLW-c-sq-n-11-db=+.04 ns
CHANGE in happines by CHANGE in having a 
dishwasher

B's controlled for:
- age and age squared
- children in household
- employment status
- education
- having a car and telephone
- relative income
- quality of house
- relative income
- health
- marital status
- cultural participation
- religious participation
- active in sports


Correlational finding on Happiness and Art
Subject code: C09ab02ha

StudyMichalos (2005): study CA Prince George 2003
TitleArts and the Quality of Life: An Exploratory Study.
SourceSocial Indicators Research, 2005, Vol. 71, 11 - 59
DOIDOI: 10.1007/s11205-004-8013-3
PublicAdults, City of Prince George, British Columbia, Canada, 2003
SampleProbability simple random sample
Non-Response87%
Respondents N =315

Correlate
Author's labelTime spent on arts-related actvities: Buying works of art
Page in Source 36, 55
Our classificationArt, code C09ab02ha
Operationalization
Selfreport of times per year buying work of arts
Respondents who never buy works of art were asked to 
write '0'.
Observed distributionAvergae 2.09 times per year
Remarks
Only people who buy works of art (N=116)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-v-7-gr=+.20 p < .05
O-QLS-c-sq-v-7-br= ns
O-HL-u-sq-v-7-fr= ns


Correlational finding on Happiness and Food
Subject code: C09ab02i

StudyWang et al. (2015): study CN 2010
TitleDoes Consuming More Make You Happier? Evidence from Chinese Panel Data.
SourceMonash DOE Working Paper, 2015, No. 29, 1 - 26
URLhttp://www.researchgate.net/publication/277004500_Does_Consuming_More_Make_You_Happier_Evidence_from_Chinese_Panel_Data
Public18+ aged, general public, China, 2010-2012
SampleProbability multistage stratified area sample
Non-Response
Respondents N =61009

Correlate
Author's labelSpecific consumption categories
Page in Source 7,8,9,23
Our classificationFood, code C09ab02i
Operationalization
Annual consumption expenditures per capita on :
a food
b dress/clothing
c housing
d necessities
e medical treatment and fitness
f  transportation and communication
g education and entertainment
h transfers
I welfare
m mortgage
n other
Remarks
in RMB in 2010 prices

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLu-u-sq-v-5-jBeta=+.00 ns
a FOOD
O-SLu-u-sq-v-5-jBeta=+.02 p < .01
b CLOTHING:              
    Males:                Beta=+.05 (p<.01)
    Females:              Beta=+.00 (ns)
    Urban:                Beta=+.02 (ns)
    Rural:                Beta=+.02 (ns)
    Locals:               Beta=+.04 (p<.01)
    Migrants:             Beta=-.02 (ns)
O-SLu-u-sq-v-5-jBeta=-.00 ns
c HOUSING:              
    Males:                Beta=-.00 (ns)
    Females:              Beta=+.00 (ns)
    Urban:                Beta=-.00 (ns)
    Rural:                Beta=+.00 (ns)
    Locals:               Beta=-.00 (ns)
    Migrants:             Beta=-.01 (ns)
O-SLu-u-sq-v-5-jBeta=-.00 ns
d NECESSITIES:           
    Males:                Beta=-.00 (ns)
    Females:              Beta=-.00 (ns)
    Urban:                Beta=-.00 (ns)
    Rural:                Beta=-.00 (ns)
    Locals:               Beta=-.00 (ns)
    Migrants:             Beta=+.00 (ns)
O-SLu-u-sq-v-5-jBeta=-.00 ns
e MEDICAL TREATMENT/FITNESS: 
    Males:                Beta=-.00 (ns)
    Females:              Beta=-.00 (ns)
    Urban:                Beta=-.00 (ns)
    Rural:                Beta=-.00 (p<.05)
    Locals:               Beta=-.00 (ns)
    Migrants:             Beta=+.00 (ns)
O-SLu-u-sq-v-5-jBeta=+.02 p < .01
f TRANSPORTATION/COMMUNICATION:  
    Males:                Beta=+.02 (p<.01)
    Females:              Beta=+.01 (p<.01)
    Urban:                Beta=+.02 (p<.01)
    Rural:                Beta=+.02 (p<.01)
    Locals:               Beta=+.02 (p<.01))
    Migrants:             Beta=-.01 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 ns
g EDUCATION/ENTERTAINMENT:   
    Males:                Beta=+.00 (ns)
    Females:              Beta=-.00 (ns)
    Urban:                Beta=-.00 (ns)
    Rural:                Beta=+.00 (ns)
    Locals:               Beta=+.00 (ns)
    Migrants:             Beta=-.00 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 p < .05
h TRANSFERS:           
    Males:                Beta=+.00 (ns)
    Females:              Beta=+.00 (ns)
    Urban:                Beta=+.00 (ns)
    Rural:                Beta=+.00 (p<.05)
    Locals:               Beta=+.01 (p<.05))
    Migrants:             Beta=-.00 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 ns
i WELFARE:                
    Males:                Beta=+.02 (p<.05)
    Females:              Beta=-.00 (ns)
    Urban:                Beta=-.00 (ns)
    Rural:                Beta=+.02 (ns)
    Locals:               Beta=+.00 (ns)
    Migrants:             Beta=-.01 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 ns
j MORTGAGE:              
    Males:                Beta=+.00 (ns)
    Females:              Beta=+.00 (ns)
    Urban:                Beta=+.00 (ns)
    Rural:                Beta=-.00 (ns)
    Locals:               Beta=+.00 (ns)
    Migrants:             Beta=+.00 (ns)
O-SLu-u-sq-v-5-jBeta=+.00 ns
k OTHERS:             
    Males:                Beta=+.00 (ns)
    Females:              Beta=-.00 (ns)
    Urban:                Beta=+.00 (ns)
    Rural:                Beta=-.00 (ns)
    Locals:               Beta=+.00 (ns)
    Migrants:             Beta=-.00 (ns)

All beta's controlled for:
- Individual characteristics:
  - age
  - age squared
  - marital status
  - schooling (years) 
  - urban vs. rural
  - health
  - health compared to 1 year ago
  - employment status
  - employment sector
  - occupation level
  - working hours
  - welfare entitlements
  - house ownership
  - housing type
  - social status at local level (self-assessed)
  - confidence in future
  - unfair treatment experienced
- Environment characteristics:
  - performance of county government
  - community type (residential or village)
  - economic condition of community
  - socio-economic homogenity of community
  - spaciousness of community
  - location of community(city,town,village or 
suburb)
  - time to get to nearest business center
  - region (east, west or central)

Similar results obtained in fixed effect analysis


Correlational finding on Happiness and Food
Subject code: C09ab02i

StudyHeadey et al. (2008): study HU 1996
TitleMoney does not Buy Happiness...Or does it? A Reconsideration Based on the Combined Effects of Wealth, Income and Consumption.
SourceSocial Indicators Research, 2008, Vol. 87, 65 - 82
DOIDOI:10.1007/s11205-007-9146-y
Public16+ aged, general public, Hungary, 1996
SampleProbability simple random sample
Non-Response
Respondents N =3055

Correlate
Author's labelEquivalised consumption / 1000
Page in Source 10, 16
Our classificationFood, code C09ab02i
Operationalization
For consumption the food expenditure (food eaten at 
home and meals out) served as a proxy for total 
non-durables.

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-10-fr=+.22
r only reported in original Discuusion paper
O-SLW-c-sq-n-10-fb=+.19 p < .001
O-SLW-c-sq-n-10-fb=+.13 p < .001
B and Beta controlled for
- gender
- age
- partnered
- education
- in working force
- unemployed
- bad health


Correlational finding on Happiness and Food
Subject code: C09ab02i

StudyDumludag (2015): study ZZ 2010
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, developed and transition nations, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =22671

Correlate
Author's labelExpenditures on food beverages and tobacco
Page in Source Table 2, 4, 6
Our classificationFood, code C09ab02i
Operationalization
Selfreport on single question:
Approximately how much does your household spend on 
food beverages and tobacco per month?
Observed distributionDeveloped = 39.8%; CEB + SEE = 47.6%; CIS + M = 51.4%
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bbb=+.05 ns
Developed Countries
O-SLW-c-sq-n-11-bbb=-.05 ns
Transition (all)
O-SLW-c-sq-n-11-bbb=-.02 ns
Central Eastern Europe and the Baltic states 
(CEB), South East Europe (SEE)
O-SLW-c-sq-n-11-bbb=-.04 ns
The Commonwealth of Independent States and 
Mongolia (CIS+M)

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Health
-Education
-Country 
-Employment
-Income ladder
O-SLW-c-sq-n-11-bbb=+.03 ns
SPLIT-UP BY INCOME In developed nations

Income ladder 1-3
O-SLW-c-sq-n-11-bbb=+.06 ns
Income ladder 4-6
O-SLW-c-sq-n-11-bbb=-.03 ns
Income ladder 7-10
O-SLW-c-sq-n-11-bbb=-.06 ns
SPLIT-UP BY INCOME in transition nations (all)

Income ladder 1-3
O-SLW-c-sq-n-11-bbb=-.05 ns
Income ladder 4-6
O-SLW-c-sq-n-11-bbb=+.00 ns
Income ladder 7-10

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Health
-Education
-Country 
-Employment


Correlational finding on Happiness and Food
Subject code: C09ab02i

StudyDumludag (2015): study ZZ Various nation sets 2006
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, Trasition countries, 2006
SampleProbability simple random sample
Non-Response
Respondents N =16934

Correlate
Author's labelExpenditures on food beverages and tobacco
Page in Source Table 1, 3, 5
Our classificationFood, code C09ab02i
Operationalization
Selfreport on single question:
During the past 30 days, approximately how much did 
your household spend on food, beverages and tobacco?
Observed distributionTransition (all) = 49.4%; CEB + SEE = 50.1%; CIS + M = 47.1%

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-v-5-ub=+.05 p < .01
TRANSITION (ALL)
O-SLW-c-sq-v-5-ub=+.09 p < .01
Central Eastern Europe and the Baltic states 
(CEB), South East Europe (SEE)
O-SLW-c-sq-v-5-ub=+.03 ns
The Commonwealth of Independent States and 
Mongolia (CIS+M)

B's controlled for:
-Age
-Gender
-Household size
-Health
-Education
-Country 
-Employment
-Income ladder
O-SLW-c-sq-v-5-ub=+.06 p < .01
SPLIT-UP BY INCOME

Income ladder 1-3
O-SLW-c-sq-v-5-ub=+.04 p < .01
Income ladder 4-6
O-SLW-c-sq-v-5-ub=+.04 ns
Income ladder 7-10

B's controlled for:
-Age
-Gender
-Household size
-Health
-Education
-Country 
-Employment


Correlational finding on Happiness and Food
Subject code: C09ab02i

StudyGokdemir (2015): study TR 2010
TitleConsumption, Savings and Life Satisfaction: the Turkish Case
SourceInternational Review of Economics, 2015, Vol. 62, 183 - 196
DOIDOI: 10.1007/s12232-015-0227-y
Public18+ aged, general public, Turkey, 2010
SampleProbability multi-stage random
Non-Response4.79%
Respondents N =955

Correlate
Author's labelExpenditure on food, beverages and tobacco
Page in Source Table 4, 5, 6
Our classificationFood, code C09ab02i
Operationalization
Selfreport on single question:
How much do your household spend on food, beverages and 
tobacco per month?
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bbb=-.12 ns
ALL
O-SLW-c-sq-n-11-bbb=-.13 ns
FEMALES
O-SLW-c-sq-n-11-bbb=-.14 ns
MALES

B's controlled for:
-Age
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Income ladder
-Marital status
-Employment status
O-SLW-c-sq-n-11-bbb=-.01 ns
AGE 18-30
O-SLW-c-sq-n-11-bbb=-.08 ns
AGE 31-50
O-SLW-c-sq-n-11-bbb=-.28 ns
AGE 51 OR OVER

B's controlled for:
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Income ladder
-Marital status
-Employment status
O-SLW-c-sq-n-11-bbb=-.13 ns
INCOME LADDER 1-5
O-SLW-c-sq-n-11-bbb=+.18 ns
INCOME LADDER 6-10

B's controlled for:
-Age
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Marital status
-Employment status


Correlational finding on Happiness and Food
Subject code: C09ab02i

StudyHeadey et al. (2008): study GB 2000
TitleMoney does not Buy Happiness...Or does it? A Reconsideration Based on the Combined Effects of Wealth, Income and Consumption.
SourceSocial Indicators Research, 2008, Vol. 87, 65 - 82
DOIDOI:10.1007/s11205-007-9146-y
Public15+ aged, general public, Great Britain, 2000
SampleProbability simple random sample
Non-Response
Respondents N =14101

Correlate
Author's labelEquivalised Consumption / 1000
Page in Source 10, 16
Our classificationFood, code C09ab02i
Operationalization
For consumption the food expenditure (food eaten at 
home and meals out) served as a proxy for total 
non-durables.

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-7-ar=+.06
r only reported in original Discussion paper
O-SLW-c-sq-n-7-ab=+.13 p < .001
O-SLW-c-sq-n-7-aBeta=+.01 ns
B and Beta controlled for
- gender
- age
- partnered
- education
- in working force
- unemployed
- bad health


Correlational finding on Happiness and Other people
Subject code: C09ab02j

StudyDunn et al. (2008): study US 2008
TitleSpending Money on Others Promotes Happiness.
SourceScience, 2008, Vol. 319, 1687 - 1688
DOIDOI:10.1126/science.1150952
Public18+ aged, general public, USA, 2008
SampleNon-probability accidental sample
Non-Response
Respondents N =632

Correlate
Author's labelspending
Page in Source 1
Our classificationOther people, code C09ab02j
Operationalization
Selfreport on two questions on how much one spends in a 
typical month on:
A for oneself
  - bills and expenses
  - gifts for themselves
B for others
  - gifts for others
  - donation to charity
Observed distributionpersonal M=$1713.91, SD=1895.65; prosocial M=$145.96, SD=306.06

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
M-FH-g-sq-v-5-b
SPENDING FOR ONESELF
M-FH-g-sq-v-5-br=+.03 ns
M-FH-g-sq-v-5-bBeta=-.02 ns
Beta controlled for:
- spending for others
M-FH-g-sq-v-5-bBeta=-.04 ns
Beta additionally controlled for:
- income
M-FH-g-sq-v-5-b
SPENDING FOR OTHERS
M-FH-g-sq-v-5-br=+.11 p < .01
M-FH-g-sq-v-5-bBeta=+.11 p < .01
Beta controlled for:
- spending for one-self
M-FH-g-sq-v-5-bBeta=+.10 p < .03
Beta additonally controlled for:
- income


Correlational finding on Happiness and Other people
Subject code: C09ab02j

StudyDunn et al. (2008): study US 2008 /1
TitleSpending Money on Others Promotes Happiness.
SourceScience, 2008, Vol. 319, 1687 - 1688
DOIDOI:10.1126/science.1150952
Public18+ aged, employees, followed 3 months before and after receiving a bonus, USA, 2008
SampleNon-probability chunk sample
Non-Response
Respondents N =16

Correlate
Author's labelspending
Page in Source 2
Our classificationOther people, code C09ab02j
Operationalization
Selfreport on 3 questions on percentage of money from 
the bonus one has spent for:
A ONE-SELF
  - bills and expensed
  - rent or mortgage
  - buying something for themselves
B OTHERS
  - buying something for someone else
  - donating to charity
Observed distributionpersonal M=63.44, SD=38.20; prosocial M=$12.19, SD=18.35
Remarks
T1: one month before bonus
T2: 3 months later

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
M-FH-g-sq-v-5-b
% BONUS SPEND FOR ONE-SELF
M-FH-g-sq-v-5-br=-.48 ns
T1 happiness
M-FH-g-sq-v-5-br=-.55 p < .05
T2 happiness
M-FH-g-sq-v-5-bBeta= ns
Beta controlled for:
- % spend to others
- income
- T1 happiness indicating CHANGE in happiness
M-FH-g-sq-v-5-b
% BONUS SPEND FOR OTHERS
M-FH-g-sq-v-5-br=+.67 p < .01
T1 happiness
M-FH-g-sq-v-5-br=+.70 p < .01
T2 happiness
M-FH-g-sq-v-5-bBeta=+.81 p < .02
Beta controlled for:
- % spend for one-self
- T1 happiness (indicating CHANGE of happiness)
M-FH-g-sq-v-5-bBeta=+.96 p < .02
Beta additionally controlled for:
- income
M-FH-g-sq-v-5-bBeta=+.81 p < .03
Beta additonally controlled for:
- bonus amount


Correlational finding on Happiness and Personal care
Subject code: C09ab02k

StudyNoll & Weick (2015): study DE 2010
TitleConsumption Expenditures and Subjective Well-Being: Emperical Evidence from Germany
SourceInternational Review of Economics, 2015, Vol. 62, 101 - 119
DOIDOI: 10.1007/s12232-015-0219-3
Public16+ aged, general public, Germany, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =30000

Correlate
Author's labelExpenditure on health
Page in Source Table 4, 5
Our classificationPersonal care, code C09ab02k
Operationalization
Selfreport on questions:
Did you or another household member make any of the 
health expenditures?
If yes: how much in total did these expenditures cost 
your household in 2009?
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bdb=-.09 p < .001
B controlled for:
-Expenditures on:
 -Clothing
 -Housing and energy
 -Furniture and housing facilities
 -Nutrition
 -Mobility
 -Communication
 -Leisure
 -Education
 -Hotels and restaurants
 -Other
-Household size
O-SLW-c-sq-n-11-bdb=-.09 p < .001
B additionally controlled for
-Household net income
O-SLW-c-sq-n-11-bdb=-.01 ns
B additionally controlled for
-Region in Germany
-Age
-Marital status
-Education
-Employment status
-Self-rated health status


Correlational finding on Happiness and Personal care
Subject code: C09ab02k

StudyDumludag (2015): study ZZ 2010
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, developed and transition nations, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =22671

Correlate
Author's labelExpenditures on health
Page in Source Table 2, 4, 6
Our classificationPersonal care, code C09ab02k
Operationalization
Selfreport on single question:
Approximately how much does your household spend on 
health annually?
Observed distributionDeveloped = 4.2%; CEB + SEE = 4.2%; CIS + M = 4.8%
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bbb=-.01 ns
Developed Countries
O-SLW-c-sq-n-11-bbb=-.00 ns
Transition (all)
O-SLW-c-sq-n-11-bbb=-.02 ns
Central Eastern Europe and the Baltic states 
(CEB), South East Europe (SEE)
O-SLW-c-sq-n-11-bbb=-.02 ns
The Commonwealth of Independent States and 
Mongolia (CIS+M)

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Health
-Education
-Country 
-Employment
-Income ladder
O-SLW-c-sq-n-11-bbb=+.01 ns
SPLIT-UP BY INCOME In developed nations

Income ladder 1-3
O-SLW-c-sq-n-11-bbb=+.01 ns
Income ladder 4-6
O-SLW-c-sq-n-11-bbb=-.10 p < .01
Income ladder 7-10
O-SLW-c-sq-n-11-bbb=+.01 ns
SPLIT-UP BY INCOME in transition nations (all)

Income ladder 1-3
O-SLW-c-sq-n-11-bbb=-.02 ns
Income ladder 4-6
O-SLW-c-sq-n-11-bbb=-.01 ns
Income ladder 7-10

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Health
-Education
-Country 
-Employment


Correlational finding on Happiness and Personal care
Subject code: C09ab02k

StudyDumludag (2015): study ZZ Various nation sets 2006
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, Trasition countries, 2006
SampleProbability simple random sample
Non-Response
Respondents N =16934

Correlate
Author's labelExpenditures on health
Page in Source Table 1, 3, 5
Our classificationPersonal care, code C09ab02k
Operationalization
Selfreport on single question:
During the past 30 days, approximately how much did 
your household spend on health?
Observed distributionTransition (all) = 4.2%; CEB + SEE = 4.4%; CIS + M = 3.6%

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-v-5-ub=-.01 ns
TRANSITION (ALL)
O-SLW-c-sq-v-5-ub=-.00 ns
CEB + SEE
O-SLW-c-sq-v-5-ub=-.00 ns
CIS + M

B's controlled for:
-Age
-Gender
-Household size
-Health
-Education
-Country 
-Employment
-Income ladder
O-SLW-c-sq-v-5-ub=-.01 ns
SPLIT-UP BY INCOME

Income ladder 1-3
O-SLW-c-sq-v-5-ub=-.01 ns
Income ladder 4-6
O-SLW-c-sq-v-5-ub=-.04 p < .01
Income ladder 7-10

B's controlled for:
-Age
-Gender
-Household size
-Health
-Education
-Country 
-Employment


Correlational finding on Happiness and Stimulants
Subject code: C09ab02l

StudyDumludag (2015): study ZZ 2010
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, developed and transition nations, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =22671

Correlate
Author's labelExpenditures on food beverages and tobacco
Page in Source Table 2, 4, 6
Our classificationStimulants, code C09ab02l
Operationalization
Selfreport on single question:
Approximately how much does your household spend on 
food beverages and tobacco per month?
Observed distributionDeveloped = 39.8%; CEB + SEE = 47.6%; CIS + M = 51.4%
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bbb=+.05 ns
Developed Countries
O-SLW-c-sq-n-11-bbb=-.05 ns
Transition (all)
O-SLW-c-sq-n-11-bbb=-.02 ns
Central Eastern Europe and the Baltic states 
(CEB), South East Europe (SEE)
O-SLW-c-sq-n-11-bbb=-.04 ns
The Commonwealth of Independent States and 
Mongolia (CIS+M)

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Health
-Education
-Country 
-Employment
-Income ladder
O-SLW-c-sq-n-11-bbb=+.03 ns
SPLIT-UP BY INCOME In developed nations

Income ladder 1-3
O-SLW-c-sq-n-11-bbb=+.06 ns
Income ladder 4-6
O-SLW-c-sq-n-11-bbb=-.03 ns
Income ladder 7-10
O-SLW-c-sq-n-11-bbb=-.06 ns
SPLIT-UP BY INCOME in transition nations (all)

Income ladder 1-3
O-SLW-c-sq-n-11-bbb=-.05 ns
Income ladder 4-6
O-SLW-c-sq-n-11-bbb=+.00 ns
Income ladder 7-10

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Health
-Education
-Country 
-Employment


Correlational finding on Happiness and Stimulants
Subject code: C09ab02l

StudySumnall & Bellis (2010): study ZZ 2010
TitleA Choise between fun for Health? Relationships between Nightlife Substance Use, Happiness, and Mental Well-Being.
SourceJournal of Substance Use, 2010, Vol. 15, 89 - 104
URLhttp://www.tandfonline.com/doi/abs/10.3109/14659890903131190
DOIdoi: 10.3109/14659890903131190
Public16-35 aged night scene public, 9 European cities, 2008
SampleNon-probability snowball sample
Non-Response
Respondents N =1363

Correlate
Author's labelUse of ecstasy
Page in Source 94-95
Our classificationStimulants, code C09ab02l
Operationalization
Selfreport on question about having used ecstasy:  
0 never
1 experimental
2 former
3 occasional
4 regular

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-u-sq-v-2-bD%=- p < .01
% happy:
-never        85% 
-experimental 83% 
-ex           72% 
-occasional   84% 
-regular      74%


Correlational finding on Happiness and Stimulants
Subject code: C09ab02l

StudyDumludag (2015): study ZZ Various nation sets 2006
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, Trasition countries, 2006
SampleProbability simple random sample
Non-Response
Respondents N =16934

Correlate
Author's labelExpenditures on food beverages and tobacco
Page in Source Table 1, 3, 5
Our classificationStimulants, code C09ab02l
Operationalization
Selfreport on single question:
During the past 30 days, approximately how much did 
your household spend on food, beverages and tobacco?
Observed distributionTransition (all) = 49.4%; CEB + SEE = 50.1%; CIS + M = 47.1%

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-v-5-ub=+.05 p < .01
TRANSITION (ALL)
O-SLW-c-sq-v-5-ub=+.09 p < .01
Central Eastern Europe and the Baltic states 
(CEB), South East Europe (SEE)
O-SLW-c-sq-v-5-ub=+.03 ns
The Commonwealth of Independent States and 
Mongolia (CIS+M)

B's controlled for:
-Age
-Gender
-Household size
-Health
-Education
-Country 
-Employment
-Income ladder
O-SLW-c-sq-v-5-ub=+.06 p < .01
SPLIT-UP BY INCOME

Income ladder 1-3
O-SLW-c-sq-v-5-ub=+.04 p < .01
Income ladder 4-6
O-SLW-c-sq-v-5-ub=+.04 ns
Income ladder 7-10

B's controlled for:
-Age
-Gender
-Household size
-Health
-Education
-Country 
-Employment


Correlational finding on Happiness and Stimulants
Subject code: C09ab02l

StudyGokdemir (2015): study TR 2010
TitleConsumption, Savings and Life Satisfaction: the Turkish Case
SourceInternational Review of Economics, 2015, Vol. 62, 183 - 196
DOIDOI: 10.1007/s12232-015-0227-y
Public18+ aged, general public, Turkey, 2010
SampleProbability multi-stage random
Non-Response4.79%
Respondents N =955

Correlate
Author's labelExpenditure on food, beverages and tobacco
Page in Source Table 4, 5, 6
Our classificationStimulants, code C09ab02l
Operationalization
Selfreport on single question:
How much do your household spend on food, beverages and 
tobacco per month?
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bbb=-.12 ns
ALL
O-SLW-c-sq-n-11-bbb=-.13 ns
FEMALES
O-SLW-c-sq-n-11-bbb=-.14 ns
MALES

B's controlled for:
-Age
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Income ladder
-Marital status
-Employment status
O-SLW-c-sq-n-11-bbb=-.01 ns
AGE 18-30
O-SLW-c-sq-n-11-bbb=-.08 ns
AGE 31-50
O-SLW-c-sq-n-11-bbb=-.28 ns
AGE 51 OR OVER

B's controlled for:
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Income ladder
-Marital status
-Employment status
O-SLW-c-sq-n-11-bbb=-.13 ns
INCOME LADDER 1-5
O-SLW-c-sq-n-11-bbb=+.18 ns
INCOME LADDER 6-10

B's controlled for:
-Age
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Marital status
-Employment status


Correlational finding on Happiness and Transport
Subject code: C09ab02m

StudyNoll & Weick (2015): study DE 2010
TitleConsumption Expenditures and Subjective Well-Being: Emperical Evidence from Germany
SourceInternational Review of Economics, 2015, Vol. 62, 101 - 119
DOIDOI: 10.1007/s12232-015-0219-3
Public16+ aged, general public, Germany, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =30000

Correlate
Author's labelExpenditure on mobility
Page in Source Table 4, 5
Our classificationTransport, code C09ab02m
Operationalization
Selfreport on questions:
Did you or another household member make any of the 
mobility expenditures?
If yes: how much in total did these expenditures cost 
your household in 2009?
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bdb=-.02 p < .05
B controlled for:
-Expenditures on:
 -Clothing
 -Housing and energy
 -Furniture and housing facilities
 -Health
 -Nutrition
 -Communication
 -Leisure
 -Education
 -Hotels and restaurants
 -Other
-Household size
O-SLW-c-sq-n-11-bdb=-.02 p < .01
B additionally controlled for
-Household net income
O-SLW-c-sq-n-11-bdb=-.01 p < .05
B additionally controlled for
-Region in Germany
-Age
-Marital status
-Education
-Employment status
-Self-rated health status


Correlational finding on Happiness and Transport
Subject code: C09ab02m

StudyDumludag (2015): study ZZ 2010
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, developed and transition nations, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =22671

Correlate
Author's labelExpenditures on transportation
Page in Source Table 2, 4, 6
Our classificationTransport, code C09ab02m
Operationalization
Selfreport on single question:
Approximately how much does your household spend on 
transportation per month?
Observed distributionDeveloped = 12.6%; CEB + SEE = 10.9%; CIS + M = 10.7%
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bbb=+.00 ns
Developed Countries
O-SLW-c-sq-n-11-bbb=-.01 ns
Transition (all)
O-SLW-c-sq-n-11-bbb=+.01 ns
Central Eastern Europe and the Baltic states 
(CEB), South East Europe (SEE)
O-SLW-c-sq-n-11-bbb=-.04 p < .05
The Commonwealth of Independent States and 
Mongolia (CIS+M)

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Health
-Education
-Country 
-Employment
-Income ladder
O-SLW-c-sq-n-11-bbb=-.02 ns
SPLIT-UP BY INCOME In developed nations

Income ladder 1-3
O-SLW-c-sq-n-11-bbb=+.02 ns
Income ladder 4-6
O-SLW-c-sq-n-11-bbb=-.05 ns
Income ladder 7-10
O-SLW-c-sq-n-11-bbb=-.01 ns
SPLIT-UP BY INCOME in transition nations (all)

Income ladder 1-3
O-SLW-c-sq-n-11-bbb=+.00 ns
Income ladder 4-6
O-SLW-c-sq-n-11-bbb=-.01 ns
Income ladder 7-10

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Health
-Education
-Country 
-Employment


Correlational finding on Happiness and Transport
Subject code: C09ab02m

StudyDumludag (2015): study ZZ Various nation sets 2006
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, Trasition countries, 2006
SampleProbability simple random sample
Non-Response
Respondents N =16934

Correlate
Author's labelExpenditures on transport and communication
Page in Source Table 1, 3, 5
Our classificationTransport, code C09ab02m
Operationalization
Selfreport on single question:
During the past 30 days, approximately how much did 
your household spend on transport and communication?
Observed distributionTransition (all) = 13.6%; CEB + SEE = 14.4%; CIS + M = 11.3%

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-v-5-ub=+.04 p < .01
TRANSITION (ALL)
O-SLW-c-sq-v-5-ub=+.07 p < .01
CEB + SEE
O-SLW-c-sq-v-5-ub=+.03 ns
CIS + M

B's controlled for:
-Age
-Gender
-Household size
-Health
-Education
-Country 
-Employment
-Income ladder
O-SLW-c-sq-v-5-ub=+.05 p < .01
SPLIT-UP BY INCOME

Income ladder 1-3
O-SLW-c-sq-v-5-ub=+.03 p < .01
Income ladder 4-6
O-SLW-c-sq-v-5-ub=+.04 p < .01
Income ladder 7-10

B's controlled for:
-Age
-Gender
-Household size
-Health
-Education
-Country 
-Employment


Correlational finding on Happiness and Transport
Subject code: C09ab02m

StudyGokdemir (2015): study TR 2010
TitleConsumption, Savings and Life Satisfaction: the Turkish Case
SourceInternational Review of Economics, 2015, Vol. 62, 183 - 196
DOIDOI: 10.1007/s12232-015-0227-y
Public18+ aged, general public, Turkey, 2010
SampleProbability multi-stage random
Non-Response4.79%
Respondents N =955

Correlate
Author's labelExpenditure on transportation
Page in Source Table 4, 5, 6
Our classificationTransport, code C09ab02m
Operationalization
Selfreport on single question:
How much do your household spend on transportation per 
month?
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bbb=+.02 ns
ALL
O-SLW-c-sq-n-11-bbb=+.04 ns
FEMALES
O-SLW-c-sq-n-11-bbb=-.03 ns
MALES

B's controlled for:
-Age
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Income ladder
-Marital status
-Employment status
O-SLW-c-sq-n-11-bbb=+.03 ns
AGE 18-30
O-SLW-c-sq-n-11-bbb=+.02 ns
AGE 31-50
O-SLW-c-sq-n-11-bbb=+.01 ns
AGE 51 OR OVER

B's controlled for:
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Income ladder
-Marital status
-Employment status
O-SLW-c-sq-n-11-bbb=+.06 ns
INCOME LADDER 1-5
O-SLW-c-sq-n-11-bbb=-.10 p < .05
INCOME LADDER 6-10

B's controlled for:
-Age
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Marital status
-Employment status


Correlational finding on Happiness and Car
Subject code: C09ab02ma

StudyHaisken-DeNew & Sinning (2010): study DE West Germany 2000
TitleSocial Deprivation of Immigrants in Germany.
SourceReview of Income and Wealth, 2010, Vol 56, 715 -733
DOIDOI: 10.1111/j.1475-4991.2010.00417.x
Public16+ aged, general public, West Germany, Germany, followed 5 years, 2000-2004
SampleProbability stratified sample
Non-Response
Respondents N =33186

Correlate
Author's labelCar in household
Page in Source 723, 725
Our classificationCar, code C09ab02ma
Operationalization
1: Car in household
0: No car in household
Observed distribution1: 83.8%

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-db=+.23 p < .01
CHANGE in happiness by CHANGE in having a car

B controlled for:
- age and age squared
- children in household
- employment status
- education
- having a telephone
- relative income
- appreciation of housing surface
- quality of house
- having a PC/stereo/dishwasher
- health
- marital status
- cultural participation
- religious participation
- active in sports


Correlational finding on Happiness and Car
Subject code: C09ab02ma

StudyOkulicz-Kozaryn et al. (2015): study US 2011
TitleLuxury Car Owners are not Happier than Frugal Car Owners
SourceInternational Review of Economics, 2015, Vol. 62, 121 - 141
DOIDOI: 10.1007/s12232-015-0223-2
Public18+ aged, general public, the US, 2011
SampleProbability multistage stratified area sample
Non-Response
Respondents N =8907

Correlate
Author's labelNumber of cars
Page in Source Table 1
Our classificationCar, code C09ab02ma
Operationalization
Selfreport on single question:
Altogether, how many vehicles do you (and your family 
living there) own or lease (for your personal use)?
Observed distribution0 car = 16%; 1 car = 34%; 2 cars = 33%; 3 cars = 12%; 4 cars or more = 5%

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-u-sq-v-5-Ir=-.03 ns
1 car
O-SLW-u-sq-v-5-Ir=+.26 p < .001
2 cars
O-SLW-u-sq-v-5-Ir=+.30 p < .001
3 cars
O-SLW-u-sq-v-5-Ir=+.22 p < .001
4 or more cars
O-SLW-u-sq-v-5-Ib=-.05 ns
1 car
O-SLW-u-sq-v-5-Ib=+.20 p < .001
2 cars
O-SLW-u-sq-v-5-Ib=+.22 p < .001
3 cars
O-SLW-u-sq-v-5-Ib=+.12 p < .05
4 or more cars

B's controlled for
-Total family income
O-SLW-u-sq-v-5-Ib=-.09 p < .05
1 car
O-SLW-u-sq-v-5-Ib=+.10 p < .05
2 cars
O-SLW-u-sq-v-5-Ib=+.10 p < .05
3 cars
O-SLW-u-sq-v-5-Ib=-.01 ns
4 or more cars

B's additionally controlled for
-Rent a dwelling
-Other than own/rent a dwelling
O-SLW-u-sq-v-5-Ib=-.13 p < .001
1 car
O-SLW-u-sq-v-5-Ib=-.05 ns
2 cars
O-SLW-u-sq-v-5-Ib=-.02 ns
3 cars
O-SLW-u-sq-v-5-Ib=-.15 p < .05
4 or more cars

B's additionally controlled for
-Number of children in household
-Health status
-Gender
-Marital status
-Age
-State dummy


Correlational finding on Happiness and Car
Subject code: C09ab02ma

StudyOkulicz-Kozaryn et al. (2015): study US 2011
TitleLuxury Car Owners are not Happier than Frugal Car Owners
SourceInternational Review of Economics, 2015, Vol. 62, 121 - 141
DOIDOI: 10.1007/s12232-015-0223-2
Public18+ aged, general public, the US, 2011
SampleProbability multistage stratified area sample
Non-Response
Respondents N =8907

Correlate
Author's labelPrice of cars
Page in Source Table 3
Our classificationCar, code C09ab02ma
Operationalization
Selfreport on single question:
What was t e total price of the vehicle?-FIRST VEHICLE
a. $0-5k
b. $5-15k
c. $15-23k
d. $23-35k
e. $>35k

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-u-sq-v-5-Ir=-.03 ns
Car $0-5k
O-SLW-u-sq-v-5-Ir=+.11 p < .05
Car $5-15k
O-SLW-u-sq-v-5-Ir=+.23 p < .001
Car $15-23k
O-SLW-u-sq-v-5-Ir=+.33 p < .001
Car $23-35k
O-SLW-u-sq-v-5-Ir=+.36 p < .001
Car $>35k
O-SLW-u-sq-v-5-Ib=-.03 ns
Car $0-5k
O-SLW-u-sq-v-5-Ib=+.09 ns
Car $5-15k
O-SLW-u-sq-v-5-Ib=+.19 p < .001
Car $15-23k
O-SLW-u-sq-v-5-Ib=+.27 p < .001
Car $23-35k
O-SLW-u-sq-v-5-Ib=+.24 p < .01
Car $>35k

B's addtionally controlled for
-Total family income
O-SLW-u-sq-v-5-Ib=-.06 ns
Car $0-5k
O-SLW-u-sq-v-5-Ib=+.02 ns
Car $5-15k
O-SLW-u-sq-v-5-Ib=+.09 ns
Car $15-23k
O-SLW-u-sq-v-5-Ib=+.15 p < .01
Car $23-35k
O-SLW-u-sq-v-5-Ib=+.11 ns
Car $>35k

B's additionally controlled for
-Rent a dwelling
-Other than own/rent a dwelling
O-SLW-u-sq-v-5-Ib=-.05 ns
Car $0-5k
O-SLW-u-sq-v-5-Ib=-.05 ns
Car $5-15k
O-SLW-u-sq-v-5-Ib=-.00 ns
Car $15-23k
O-SLW-u-sq-v-5-Ib=+.03 ns
Car $23-35k
O-SLW-u-sq-v-5-Ib=-.05 ns
Car $>35k

B's additionally controlled for
-Number of children in household
-Health status
-Gender
-Marital status
-Age
-State dummy
O-SLW-u-sq-v-5-Ib=-.26 p < .001
Car $0-5k   (vs Car $15-23k)
O-SLW-u-sq-v-5-Ib=-.13 p < .01
Car $5-15k  (vs Car $15-23k)
O-SLW-u-sq-v-5-Ib=+.10 p < .05
Car $23-35k (vs Car $15-23k)
O-SLW-u-sq-v-5-Ib=+.12 ns
Car $>35k   (vs Car $15-23k)

B's controlled for
-Year in which acquired first car
O-SLW-u-sq-v-5-Ib=-.23 p < .001
Car $0-5k   (vs Car $15-23k)
O-SLW-u-sq-v-5-Ib=-.11 p < .05
Car $5-15k  (vs Car $15-23k)
O-SLW-u-sq-v-5-Ib=+.08 ns
Car $23-35k (vs Car $15-23k)
O-SLW-u-sq-v-5-Ib=+.05 ns
Car $>35k   (vs Car $15-23k)

B's additionally controlled for
-Total family income
O-SLW-u-sq-v-5-Ib=-.16 p < .01
Car $0-5k   (vs Car $15-23k)
O-SLW-u-sq-v-5-Ib=-.07 ns
Car $5-15k  (vs Car $15-23k)
O-SLW-u-sq-v-5-Ib=+.05 ns
Car $23-35k (vs Car $15-23k)
O-SLW-u-sq-v-5-Ib=+.02 ns
Car $>35k   (vs Car $15-23k)

B's additionally controlled for
-Rent a dwelling
-Other than own/rent a dwelling
O-SLW-u-sq-v-5-Ib=-.06 ns
Car $0-5k   (vs Car $15-23k)
O-SLW-u-sq-v-5-Ib=-.05 ns
Car $5-15k  (vs Car $15-23k)
O-SLW-u-sq-v-5-Ib=+.05 ns
Car $23-35k (vs Car $15-23k)
O-SLW-u-sq-v-5-Ib=-.01 ns
Car $>35k   (vs Car $15-23k)

B's additionally controlled for
-Number of children in household
-Health status
-Gender
-Marital status
-Age
-State dummy


Correlational finding on Happiness and Car
Subject code: C09ab02ma

StudyOkulicz-Kozaryn et al. (2015): study US 2011
TitleLuxury Car Owners are not Happier than Frugal Car Owners
SourceInternational Review of Economics, 2015, Vol. 62, 121 - 141
DOIDOI: 10.1007/s12232-015-0223-2
Public18+ aged, general public, the US, 2011
SampleProbability multistage stratified area sample
Non-Response
Respondents N =8907

Correlate
Author's labelCar Ownership
Page in Source Table 1
Our classificationCar, code C09ab02ma
Operationalization
Selfreport on own a car or not.
1. yes
0. no

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-u-sq-v-5-Ir=+.15 p < .001
O-SLW-u-sq-v-5-Ib=+.08 p < .05
B controlled for
-Total family income
O-SLW-u-sq-v-5-Ib=-.02 ns
B additionally controlled for
-Rent a dwelling
-Other than own/rent a dwelling
O-SLW-u-sq-v-5-Ib=-.11 p < .01
B additionally controlled for
-Number of children in household
-Health status
-Gender
-Marital status
-Age
-State dummy


Correlational finding on Happiness and Public transportation
Subject code: C09ab02mb

StudyBoelhouwer (2002): study NL 1997
TitleSocial Indicators and Living Conditions in the Netherlands.
SourceSocial Indicators Research, 2002, Vol. 60, 89 - 113
DOIDOI:10.1023/A:1021200828811
Public18+ aged, general public, The Netherlands, 1997
SampleProbability sample (unspecified)
Non-Response
Respondents N =3500

Correlate
Author's labelOwnership of a public transport season ticket
Page in Source 100
Our classificationPublic transportation, code C09ab02mb
Operationalization
Selfreport on single question:
Do you have a public transport season ticket?
1 yes, for the railways
2 yes, for bus, tram and underground
3 yes, for both categories
4 no

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HP-u-sq-v-5-ar=+.01 ns


Correlational finding on Happiness and Utilities
Subject code: C09ab02n

StudyNoll & Weick (2015): study DE 2010
TitleConsumption Expenditures and Subjective Well-Being: Emperical Evidence from Germany
SourceInternational Review of Economics, 2015, Vol. 62, 101 - 119
DOIDOI: 10.1007/s12232-015-0219-3
Public16+ aged, general public, Germany, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =30000

Correlate
Author's labelExpenditure on housing and energy
Page in Source Table 4, 5
Our classificationUtilities, code C09ab02n
Operationalization
Selfreport on questions:
Did you or another household member make any of the 
housing and energy expenditures?
If yes: how much in total did these expenditures cost 
your household in 2009?
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bdb=-.03 p < .01
B controlled for:
-Expenditures on:
 -Clothing
 -Nutrition
 -Furniture and housing facilities
 -Health
 -Mobility
 -Communication
 -Leisure
 -Education
 -Hotels and restaurants
 -Other
-Household size
O-SLW-c-sq-n-11-bdb=-.04 p < .001
B additionally controlled for
-Household net income
O-SLW-c-sq-n-11-bdb=-.03 p < .01
B additionally controlled for
-Region in Germany
-Age
-Marital status
-Education
-Employment status
-Self-rated health status


Correlational finding on Happiness and Utilities
Subject code: C09ab02n

StudyDumludag (2015): study ZZ 2010
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, developed and transition nations, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =22671

Correlate
Author's labelExpenditures on utilities
Page in Source Table 2, 4, 6
Our classificationUtilities, code C09ab02n
Operationalization
Selfreport on single question:
Approximately how much does your household spend on 
utilities per month?
Observed distributionDeveloped = 19.2%; CEB + SEE = 23.9%; CIS + M = 15%
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bbb=-.02 ns
Developed Countries
O-SLW-c-sq-n-11-bbb=+.11 p < .01
Transition (all)
O-SLW-c-sq-n-11-bbb=+.06 p < .05
Central Eastern Europe and the Baltic states 
(CEB), South East Europe (SEE)
O-SLW-c-sq-n-11-bbb=+.14 p < .01
The Commonwealth of Independent States and 
Mongolia (CIS+M)

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Health
-Education
-Country 
-Employment
-Income ladder
O-SLW-c-sq-n-11-bbb=-.02 ns
SPLIT-UP BY INCOME In developed nations

Income ladder 1-3
O-SLW-c-sq-n-11-bbb=-.03 ns
Income ladder 4-6
O-SLW-c-sq-n-11-bbb=+.06 ns
Income ladder 7-10
O-SLW-c-sq-n-11-bbb=+.16 p < .01
SPLIT-UP BY INCOME in transition nations (all)

Income ladder 1-3
O-SLW-c-sq-n-11-bbb=+.08 p < .01
Income ladder 4-6
O-SLW-c-sq-n-11-bbb=+.12 ns
Income ladder 7-10

B's controlled for:
-Age
-Gender
-Household size
-marital status
-Health
-Education
-Country 
-Employment


Correlational finding on Happiness and Utilities
Subject code: C09ab02n

StudyDumludag (2015): study ZZ Various nation sets 2006
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, Trasition countries, 2006
SampleProbability simple random sample
Non-Response
Respondents N =16934

Correlate
Author's labelExpenditures on furnishings
Page in Source Table 1, 3, 5
Our classificationUtilities, code C09ab02n
Operationalization
Selfreport on single question:
During the past 30 days, approximately how much did 
your household spend on furnishing?
Observed distributionTransition (all) = 1.3%; CEB + SEE = 1.3%; CIS + M = 1.3%

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-v-5-ub=+.02 p < .01
TRANSITION (ALL)
O-SLW-c-sq-v-5-ub=+.01 p < .05
CEB + SEE
O-SLW-c-sq-v-5-ub=+.02 p < .01
CIS + M
B's controlled for:
-Age
-Gender
-Household size
-Health
-Education
-Country 
-Employment
-Income ladder
O-SLW-c-sq-v-5-ub=+.03 p < .01
SPLIT-UP BY INCOME

Income ladder 1-3
O-SLW-c-sq-v-5-ub=+.02 p < .01
Income ladder 4-6
O-SLW-c-sq-v-5-ub=+.01 ns
Income ladder 7-10

B's controlled for:
-Age
-Gender
-Household size
-Health
-Education
-Country 
-Employment


Correlational finding on Happiness and Utilities
Subject code: C09ab02n

StudyGokdemir (2015): study TR 2010
TitleConsumption, Savings and Life Satisfaction: the Turkish Case
SourceInternational Review of Economics, 2015, Vol. 62, 183 - 196
DOIDOI: 10.1007/s12232-015-0227-y
Public18+ aged, general public, Turkey, 2010
SampleProbability multi-stage random
Non-Response4.79%
Respondents N =955

Correlate
Author's labelExpenditure on utilities
Page in Source Table 4, 5, 6
Our classificationUtilities, code C09ab02n
Operationalization
Selfreport on single question:
How much do your household spend on utilities per 
month?
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bbb=+.18 ns
ALL
O-SLW-c-sq-n-11-bbb=+.26 ns
FEMALES
O-SLW-c-sq-n-11-bbb=+.09 ns
MALES

B's controlled for:
-Age
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Income ladder
-Marital status
-Employment status
O-SLW-c-sq-n-11-bbb=+.15 ns
AGE 18-30
O-SLW-c-sq-n-11-bbb=+.26 ns
AGE 31-50
O-SLW-c-sq-n-11-bbb=+.10 ns
AGE 51 OR OVER

B's controlled for:
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Income ladder
-Marital status
-Employment status
O-SLW-c-sq-n-11-bbb=+.26 ns
INCOME LADDER 1-5
O-SLW-c-sq-n-11-bbb=+.16 ns
INCOME LADDER 6-10

B's controlled for:
-Age
-Household size
-Gender (just for the whole sample)
-Health
-Education
-Marital status
-Employment status


Correlational finding on Happiness and Kinds of consumption
Subject code: C09ab03

StudyOzawa & Hoffstetter (2004): study JP 1997
TitleUse of Longitudinal Panel Data to Estimate the Effects of Adopting New Activities to Household Consumption Patterns and Happiness.
SourceProceedings, International Workshop on Driving Forces of and Barriers to Sustainable Consumption, University of Leeds, March 2004, UK, 88 - 97
URLHTTP://worlddatabaseofhappiness.eur.nl/hap_bib/freetexts/ozawa_t_2004B.pdf
PublicWomen, aged 24-38, followed 2 years, Japan, 1997-1999
SampleProbability simple random sample
Non-Response
Respondents N =1537

Correlate
Author's labelAdopting cloth dryer
Page in Source 96
Our classificationKinds of consumption, code C09ab03
Operationalization
Selfreport on single question:
Start to use cloth dryer in 1998 and/or 1999:
0: non-adopters 
(those that have access to cloth dryer in neither year)
1: adopters 
(those that started cloth dryer in later year but not 
in the first year)
Full question was not reported.
Observed distributionDiffusion percentage: 1997: 20%; 1998: 20%; 1999: 20%

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-?-sq-v-5-eDM=+ ns
CHANGE in average happiness level
0:           -0.01
1:           +0.07
-difference: +0.08
O-SL?-?-sq-v-5-gDM=+ ns
0:           +0.02
1:           +0.13
-difference: +0.11
Set Image size:   



Correlational finding on Happiness and Kinds of consumption
Subject code: C09ab03

StudyOzawa & Hoffstetter (2004): study JP 1997
TitleUse of Longitudinal Panel Data to Estimate the Effects of Adopting New Activities to Household Consumption Patterns and Happiness.
SourceProceedings, International Workshop on Driving Forces of and Barriers to Sustainable Consumption, University of Leeds, March 2004, UK, 88 - 97
URLHTTP://worlddatabaseofhappiness.eur.nl/hap_bib/freetexts/ozawa_t_2004B.pdf
PublicWomen, aged 24-38, followed 2 years, Japan, 1997-1999
SampleProbability simple random sample
Non-Response
Respondents N =1537

Correlate
Author's labelAdopting personal computer
Page in Source 96
Our classificationKinds of consumption, code C09ab03
Operationalization
Selfreport on single question:
Start to use personal computer in 1998 and/or 1999:
0: non-adopters 
(those that have access to personal computer in neither 
year)
1: adopters 
(those that started personal computer in later year but 
not in the first year)
Full question was not reported.
Observed distributionDiffusion percentage: 1997: 24%; 1998: 32%; 1999: 38% (calculated by WDH staff)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-?-sq-v-5-eDM=+ ns
CHANGE in average happiness level:
0:           -0.02
1:           +0.01
-difference: +0.03
O-SL?-?-sq-v-5-gDM=+ ns
0:           +0.01
1:           +0.01
-difference: 0
Set Image size:   



Correlational finding on Happiness and Kinds of consumption
Subject code: C09ab03

StudyOzawa & Hoffstetter (2004): study JP 1997
TitleUse of Longitudinal Panel Data to Estimate the Effects of Adopting New Activities to Household Consumption Patterns and Happiness.
SourceProceedings, International Workshop on Driving Forces of and Barriers to Sustainable Consumption, University of Leeds, March 2004, UK, 88 - 97
URLHTTP://worlddatabaseofhappiness.eur.nl/hap_bib/freetexts/ozawa_t_2004B.pdf
PublicWomen, aged 24-38, followed 2 years, Japan, 1997-1999
SampleProbability simple random sample
Non-Response
Respondents N =1537

Correlate
Author's labelAdopting mobile phone
Page in Source 96
Our classificationKinds of consumption, code C09ab03
Operationalization
Selfreport on single question:
Start to use mobile phone in 1998 and/or 1999:
0: non-adopters 
(those that have access to mobile phone in neither 
year)
1: adopters 
(those that started mobile phone in later year but not 
in the first year)
Full question was not reported.
Observed distributionDiffusion percentage: 1997: 53%; 1998: 68%; 1999: 78% (calculated by WDH staff)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-?-sq-v-5-eDM=+ ns
CHANGE in average happiness level:
0:           -0.02
1:           +0.03
-difference: +0.05
O-SL?-?-sq-v-5-gDM=+ ns
0:           +0.01
1:           +0.02
-difference: +0.01
Set Image size:   



Correlational finding on Happiness and Kinds of consumption
Subject code: C09ab03

StudyFarage et al. (2010): study US 2007
TitleThe Farage Quality of Life Measure for Consumer Products: Development and Initial Implementation.
SourceApplied Research in Quality of Life, 2010, Vol. 5, 1 - 25
DOIDOI:10.1007/s11482-009-9087-5
PublicWomen, aged 18-55, before and after menstruation, USA, 200?
SampleNon-probability purposive sample
Non-Response36%
Respondents N =119

Correlate
Author's labelMenstruation pad
Page in Source Table 5
Our classificationKinds of consumption, code C09ab03
Operationalization
Within age groups, subjects were randomly assigned to 
either an intervention group or a control group. The 
intervention group
was given the new brand of menstrual pads to use during 
their next period and the control group was asked to 
use their usual menstrual pads.
1: new pad   (intervention)
0: usual pad (control)
Remarks
Happiness assessed 7 days before menstruation (T1) and 
7 days after (T2).

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-QOL-cw-sq-v-5-aDM=+ ns
        Usual pads    New pads   Difference
 T1:      M = 3.03    M = 2,93   -.10
 T2:      M = 2.85    M = 2.93   +.08
-difference: -0.18        0.00
M-FH-cw-sq-v-5-cDM=+ ns
        Usual pads    New pads   Difference
 T1:      M = 2.44    M = 2,39   -.05
 T2:      M = 2.29    M = 2.34   +.05
-difference: -0.15       -0.05

Similar non-difference across age categories.

Users of new pad report no difference in happiness 
in week after menstruation.


Correlational finding on Happiness and Communication
Subject code: C09ab03a

StudyNoll & Weick (2015): study DE 2010
TitleConsumption Expenditures and Subjective Well-Being: Emperical Evidence from Germany
SourceInternational Review of Economics, 2015, Vol. 62, 101 - 119
DOIDOI: 10.1007/s12232-015-0219-3
Public16+ aged, general public, Germany, 2010
SampleProbability multi-stage random
Non-Response
Respondents N =30000

Correlate
Author's labelExpenditure on communication
Page in Source Table 4, 5
Our classificationCommunication, code C09ab03a
Operationalization
Selfreport on questions:
Did you or another household member make any of the 
communication expenditures?
If yes: how much in total did these expenditures cost 
your household in 2009?
Remarks
Expressed in natural logarithm (ln)

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-bdb=-.07 p < .001
B controlled for:
-Expenditures on:
 -Clothing
 -Housing and energy
 -Furniture and housing facilities
 -Health
 -Mobility
 -Nutrition
 -Leisure
 -Education
 -Hotels and restaurants
 -Other
-Household size
O-SLW-c-sq-n-11-bdb=-.08 p < .001
B additionally controlled for
-Household net income
O-SLW-c-sq-n-11-bdb=-.06 p < .01
B additionally controlled for
-Region in Germany
-Age
-Marital status
-Education
-Employment status
-Self-rated health status


Correlational finding on Happiness and Communication
Subject code: C09ab03a

StudyDumludag (2015): study ZZ Various nation sets 2006
TitleConsumption and Life Satisfaction at Different Levels of economic development
SourceInternational Review of Economics, 2015, Vol. 62, 163 - 182
DOIDOI: 10.1007/s12232-015-0226-z
Public18+ aged, general public, Trasition countries, 2006
SampleProbability simple random sample
Non-Response
Respondents N =16934

Correlate
Author's labelExpenditures on transport and communication
Page in Source Table 1, 3, 5
Our classificationCommunication, code C09ab03a
Operationalization
Selfreport on single question:
During the past 30 days, approximately how much did 
your household spend on transport and communication?
Observed distributionTransition (all) = 13.6%; CEB + SEE = 14.4%; CIS + M = 11.3%

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-v-5-ub=+.04 p < .01
TRANSITION (ALL)
O-SLW-c-sq-v-5-ub=+.07 p < .01
CEB + SEE
O-SLW-c-sq-v-5-ub=+.03 ns
CIS + M

B's controlled for:
-Age
-Gender
-Household size
-Health
-Education
-Country 
-Employment
-Income ladder
O-SLW-c-sq-v-5-ub=+.05 p < .01
SPLIT-UP BY INCOME

Income ladder 1-3
O-SLW-c-sq-v-5-ub=+.03 p < .01
Income ladder 4-6
O-SLW-c-sq-v-5-ub=+.04 p < .01
Income ladder 7-10

B's controlled for:
-Age
-Gender
-Household size
-Health
-Education
-Country 
-Employment


Correlational finding on Happiness and Telephone
Subject code: C09ab03aa

StudyHaisken-DeNew & Sinning (2010): study DE West Germany 2000
TitleSocial Deprivation of Immigrants in Germany.
SourceReview of Income and Wealth, 2010, Vol 56, 715 -733
DOIDOI: 10.1111/j.1475-4991.2010.00417.x
Public16+ aged, general public, West Germany, Germany, followed 5 years, 2000-2004
SampleProbability stratified sample
Non-Response
Respondents N =33186

Correlate
Author's labelTelephone
Page in Source 723, 725
Our classificationTelephone, code C09ab03aa
Operationalization
1: Having a telephone
0: Not having a telephone
Observed distribution1: 94.3%

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-db=+.19 p < .01
CHANGE in happiness by CHANGE in possession of a 
telephone

B controlled for:
- age and age squared
- children in household
- employment status
- education
- having a car 
- relative income
- appreciation of housing surface
- quality of house
- having a PC/stereo/dishwasher
- health
- marital status
- cultural participation
- religious participation
- active in sports


Correlational finding on Happiness and Telephone
Subject code: C09ab03aa

StudyCuesta & Budria (2011): study DE 2000
TitleDeprivation and Subjective Well-being: Evidence from Panel Data.
SourceEA Working Papers, 2011, No.8, UA Madrid, Spain
Public18+ aged, heads of households, Germany, 2000-2008
SampleProbability multi-stage cluster sample
Non-Response
Respondents N =11000

Correlate
Author's labelTelephone
Page in Source 37-40
Our classificationTelephone, code C09ab03aa
Operationalization
1: Yes
0: No
Observed distribution0: M = 0,009 SD = 0,094
Remarks
In original: Lack of telephone. Order reversed by WDH 
team.

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-11-db=+.10 p < .05
PROBIT ADAPTED OLS

B controlled for:
- social characteristics
  - age
  - gender
  - financial situation
  - education
  - household size
  - marital status
  - employment status
  - nationality
  - accomodation
- personality traits
- absolute lack of
  - savings
  - facilities   (bath, toilet, etc)
  - durables     (car, telephone, etc)
  - health       (bad health, disabled etc)

Random effects. Fixed effects: B = +.095 (05)
O-SLW-c-sq-n-11-db=+.14 p < .01
B additionally controlled for:
- absolute lack of
  - social life

Fixed effects. Random effects: B = +.124 (05)
O-SLW-c-sq-n-11-db=-.06 ns
B additionally controlled for:
- relative lack of
  - facilities
  - durables
  - accomodation
  - health 

Random effects. Fixed effects: B = +.072 (ns)
O-SLW-c-sq-n-11-db=-.14 p < .05
B additionally controlled for:
- relative lack of
  - social life

Fixed effects. Random effects: B = +.092 (ns)


Correlational finding on Happiness and TV
Subject code: C09ab03ad

StudyPelham (2008): study ZZ 2006
TitleTV Ownership may be good for Well-Being.
SourceThe Gallup Poll/105850, 2008, Washington DC, USA.
URLhttp://www.gallup.com/poll/105850/ownership-may-good-wellbeing.aspx
Public15+ aged, general public, 114 nations, 2006-2007
SampleProbability simple random sample
Non-Response
Respondents N =114000

Correlate
Author's labelTV ownership
Page in Source 1-3
Our classificationTV, code C09ab03ad
Operationalization
0: No telivision in household
1: Television in household
Observed distributionN Europe = 0: 810, 1: 40.267

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
C-BW-c-sq-l-11-aDM=+
Europe:
- No TV:   M = 5,07  CI95 [4,80-5,26] 
- TV       M = 5,80  CI95 [5,78-5,82]  
difference =+0,73
C-BW-c-sq-l-11-aDM=+
The America's:
- No TV:   M = 4,47
- TV       M = 6,07 
difference    +1,60
C-BW-c-sq-l-11-aDM=+
Africa:
- No TV:   M = 3,93
- TV       M = 4,99 
difference    +1,06
C-BW-c-sq-l-11-aDM=+
Asia:
- No TV:   M = 4,20
- TV       M = 5,38 
difference    +1,18
Set Image size:   



Correlational finding on Happiness and Energy used foor coking
Subject code: C09ab03ba

StudyRichards (2001): study ZA ZA: Eastern Cape 2001
TitleHow to Measure Quality of Life in Diverse Population.
SourcePaper 4th Conference International Society for Quality of Life Studies, 2001, Washington DC, USA
Publicadults, general public, Buffalo City, South Africa, 2001
SampleProbability sample (unspecified)
Non-Response
Respondents N =2477

Correlate
Author's labelEnergy for Cooking
Page in Source 20
Our classificationEnergy used foor coking, code C09ab03ba
Operationalization
self report on energy used for cooking:
a electricity
b gas
c paraffin
d wood
e other
Observed distributionN= a:651, b:18, c: 161, d:43, e:1

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-v-5-gD%=
% satisfied (vs. dissatisfied)
a: 49.7
b: 30.5
c: 17.9
d: 22.9
e: 12.5


Correlational finding on Happiness and Energy used for lighting
Subject code: C09ab03bb

StudyRichards (2001): study ZA ZA: Eastern Cape 2001
TitleHow to Measure Quality of Life in Diverse Population.
SourcePaper 4th Conference International Society for Quality of Life Studies, 2001, Washington DC, USA
Publicadults, general public, Buffalo City, South Africa, 2001
SampleProbability sample (unspecified)
Non-Response
Respondents N =2477

Correlate
Author's labelEnergy for Lighting
Page in Source 20
Our classificationEnergy used for lighting, code C09ab03bb
Operationalization
self-report on energy used for lighting:
a electricity
b gas
c paraffin
d candles
Observed distributionN= a:786, b:3, c:84, d:1

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-v-5-gD%=
% satisfied (vs. dissatisfied)
a: 42.3
b: 25.0
c: 14.2
d: 33.3


Correlational finding on Happiness and Green products
Subject code: C09ab03c

StudyXiao & Li (2011): study CN 2005
TitleSustainable Consmuption and Life Satisfaction.
SourceSocial Indicators Research, 2011, Vol. 104, 323 -329
URLhttp://www.researchgate.net/publication/226764459_Sustainable_Consumption_and_Life_Satisfaction
DOIDOI:10.1007/s11205-010-9746-9
PublicGeneral public, 14 cities, China, 2005
SampleProbability simple random sample
Non-Response151
Respondents N =3372

Correlate
Author's labelGreen purchase behaviour
Page in Source 326-327
Our classificationGreen products, code C09ab03c
Operationalization
Selfreport on single question:
Purchase green products:
2: always
1: sometimes
0: never

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLu-u-sq-v-5-eAoV=
2: M = 3.53
1: M = 3.23
0: M = 3.05
Set Image size:   

O-SLu-u-sq-v-5-eb=+.15 p < .0001
B controlled for:
-Green lifestyle intention
-Green purchase intention
O-SLu-u-sq-v-5-eb=+.10 p < .001
B controlled for:
-Green lifestyle intention
-Green purchase intention
-Gender
-Age
-Education
-Family income


Correlational finding on Happiness and Positional goods
Subject code: C09ab03d

StudyLinssen et al. (2011): study IN Orrisa 2008
TitleSubjective Well Being in Rural India: The Curse of Conspicuous Consumption.
SourceSocial Indicators Research, 2011, Vol. 101, 57-72
DOIDOI:10.1007/s11205-010-9635-2
PublicPoor household, rural areas, India, 2008
SampleNon-probability accidental sample
Non-Response
Respondents N =697

Correlate
Author's labelConspicuous consumption
Page in Source Table 1 & Table 2
Our classificationPositional goods, code C09ab03d
Operationalization
Percentages of a household's consumption spend on:
a.Durable goods that are scarce and visible (jewellery, 
watches, mobile phones etc.)
b. Social and religious expenses
c. Recreation expenses
d. Last five years dowry expenses
Observed distributionM = 0.08; SD = 0.018

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-g-sq-v-5-ab=-.48 p < .01
B controlled for:
-Consumption
 -absolute consumption
O-HL-g-sq-v-5-ab=-.46 p < .01
B additionally controlled for:
-Village level characteristics
 -average village level consumption
-Relative consumption
 (difference absolute consumption of respondent 
with average in village)
O-HL-g-sq-v-5-ab=-.35 p < .01
B additionally controlled for:
-Individual level characteristic
 -caste
 -missed days due to health
 -age
 -education
 -marrital status
 -religion
 -employed/unemployed
 -sexe


Correlational finding on Happiness and Services
Subject code: C09ab03e

StudyCheung et al. (2005): study HK 2001
TitleQuality of Life in Older Adults: Benefits from Caring Services in Hong Kong.
SourceSocial Indicators Research, 2005, Vol. 71, 29 1- 334
DOIdoi:10.1007/s11205-004-8021-3
PublicElderly, Hong Kong, 2001
SampleNon-probability purposive-quota sample
Non-Response
Respondents N =3000

Correlate
Author's labelService use frequency (each time per day)
Page in Source 322
Our classificationServices, code C09ab03e
Operationalization
Self report on service use frequency (each time per 
day):
a: interest group
b: meal service
c: travel
d: meal to home service
e: home cleaning service
f: personal care service
g: sport facilities
h: volunteer service
i: medical service
j: nursing service
Remarks
1 unit= 1 time per day

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-QOL-c-sq-ol-101-ab=+0.3 ns
FREQUENCY SERVICE USED OF ..
-interest group
O-QOL-c-sq-ol-101-ab=+0.6 p < .05
-meal service
O-QOL-c-sq-ol-101-ab=+2.0 ns
-travel
O-QOL-c-sq-ol-101-ab=-3.4 p < .01
-meal to home service
O-QOL-c-sq-ol-101-ab=+2.4 ns
-home cleaning service
O-QOL-c-sq-ol-101-ab=-0.5 ns
-personal care service
O-QOL-c-sq-ol-101-ab=-0.2 ns
-sport facilities
O-QOL-c-sq-ol-101-ab=+0.3 ns
-volunteer service
O-QOL-c-sq-ol-101-ab=-3.6 ns
-medical service
O-QOL-c-sq-ol-101-ab=-2.0 ns
-nursing service
O-QOL-c-sq-ol-101-aR²=0.3
a+b+c+d+e+f+g++h+i+j

B is controlled for:
-age
-sex
-education
-acquiescence
-reception of public welfare
-religious faith
-living arrangement
-marital status
-quality of life in the past years

No significant interactions with
-chronic illness
-age
-sex


Correlational finding on Happiness and Services
Subject code: C09ab03e

StudyCheung et al. (2005): study HK 2001
TitleQuality of Life in Older Adults: Benefits from Caring Services in Hong Kong.
SourceSocial Indicators Research, 2005, Vol. 71, 29 1- 334
DOIdoi:10.1007/s11205-004-8021-3
PublicElderly, Hong Kong, 2001
SampleNon-probability purposive-quota sample
Non-Response
Respondents N =3000

Correlate
Author's labelUse of care facilities
Page in Source 310, 319-320, 324
Our classificationServices, code C09ab03e
Operationalization
Self report on current use and usage frequency of 
various care facilities:
a: None 
b: Social center
c: Multiservice center
d: Day care center
e: Home help
f: Hostel
g: Nursing home

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-QOL-c-sq-ol-101-aDM=+/-
Non users             M=64.2 SD=21.6
Users of
-Social center        M=65.2 SD=21.7
-Multiservice center  M=66.4 SD=21.7
-Day care center      M=62.1 SD=25.0
-Home help            M=58.7 SD=23.6
-Hostel               M=72.6 SD=20.2
-Nursing home         M=67.7 SD=22.8
O-QOL-c-sq-ol-101-aAoV=14.7 ns
O-QOL-c-sq-ol-101-ab=-0.1 ns
USAGE of (vs non-usage)
-Social center
O-QOL-c-sq-ol-101-ab=+0.3 ns
-Multiservice center
O-QOL-c-sq-ol-101-ab=-1.4 ns
-Day care center
O-QOL-c-sq-ol-101-ab=-0.6 ns
-Home help
O-QOL-c-sq-ol-101-ab=+3.4 ns
-Hostel
O-QOL-c-sq-ol-101-ab=-0.8 ns
-Nursing home

B's controlled for:
-age
-sex
-education
-acquiescence
-reception of public welfare
-religious faith
-living arrangement
-marital status
-quality of life in the past years
O-QOL-c-sq-ol-101-ab=+0.3 p < .01
CUMULATIVE USE of (per year
-Social center
O-QOL-c-sq-ol-101-ab=+0.5 p < .01
-Multiservice center
O-QOL-c-sq-ol-101-ab=+0.6 ns
-Day care center
O-QOL-c-sq-ol-101-ab=+0.1 ns
-Home help
O-QOL-c-sq-ol-101-ab=+40 p < .01
-home care
O-QOL-c-sq-ol-101-ab=-0.3 ns
-hostel
O-QOL-c-sq-ol-101-ab=-0.9 ns
-nursing home

B is controlled for:
-age
-sex
-education
-acquiescence
-reception of public welfare
-religious faith
-living arrangement
-marital status
-quality of life in the past years


Correlational finding on Happiness and on internet
Subject code: C09ac01a

StudySabatini (2011): study IT 2008
TitleCan a Click buy a Little Happiness? The Impact of Business-to-Consumer E-Commerce on Subjective Well-Being.
SourceMPRA Paper no. 32393, 2011, München, Germany
URLhttps://ideas.repec.org/p/eei/rpaper/eeri_rp_2011_12.html
PublicGeneral public, Italy, 2008
SampleProbability simple random sample
Non-Response
Respondents N =4130

Correlate
Author's labelE-shopping
Page in Source Table 1 & Table 2
Our classificationon internet, code C09ac01a
Operationalization
Selfreport on single question:
Did you buy any goods or services or make any bookings 
on the Internet in 2008?
1: Yes
0: No
Observed distributionM = 0.18; SD = 0.38

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-u-sq-n-10-bb=+.10 p < .01
B controlled for:
-Social background
 -Gender
 -Marital status
 -Age
 -Health condition
 -Education 
-Income position
 -Ownership of the house of residence
 -Household income
 -Mortgage loan 
 -Work status
-Neighbourhood 
 -CO2 emissions
 -Public parks and gardens
 -Environmental crimes
 -Social assistance
 -Cultural supply
 -Micro-criminality
 -Dirtiness of the local area
 -Regional poverty
 -Noise in the local area

Instrumental variable analysis suggests a causal 
effect of E-shopping on happiness
Variables used in this analysis are
-prepaid debit card
-risk propensity


Correlational finding on Happiness and Preferred way of payment
Subject code: C09ac02aa

StudyGuven (2009b): study NL 1993
TitleWeather and Financial Risk-Taking: Is Happiness the Channel?
SourceSOEP Paper No. 218, 2009, Berlin, Germany
URLhttp://ideas.repec.org/p/diw/diwsop/diw_sp218.html
Public16+ aged, households' members, Netherlands, 1993-2006
SampleSampling not reported
Non-Response
Respondents N =4500

Correlate
Author's labelUse of phone/internet banking and ATM
Page in Source 35
Our classificationPreferred way of payment, code C09ac02aa
Operationalization
a: "Do you use phone banking?"
b: "Do you use internet banking?"
Rated as:
    1: no
    2: yes, very rarely
    3: yes, every now and thn
    4: yes, often
    5: yes, very often

c: "Do you prefer to go to ATM or counter of a bank?"
    1: I prefer the ATM
    2: I prefer the bank
    3: I have no particular preference

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HP-u-sq-v-5-ab=+.02
Using phone banking
O-HP-u-sq-v-5-ab=+.03
Using internet banking
O-HP-u-sq-v-5-ab=+.03
Preference for ATM or counter of a bank
O-HP-u-sq-v-5-ab=-3.1
Using internet banking
O-HP-u-sq-v-5-ab-iv=-2.7
Using phone banking
O-HP-u-sq-v-5-ab-iv=-1.6
Preference for ATM or counter of a bank

Instrument for happiness:
- last ten days cloud cover deviation

Bs controlled for:
- Personal characteristics
  - labor force status
  - marital status
  - household size
  - gender
  - health status
  - age
  - number of children
  - schooling
  - income
- province
- year fixed effects


Correlational finding on Happiness and Practiced ways of payment
Subject code: C09ac02ab

StudyGuven (2009b): study NL 1993
TitleWeather and Financial Risk-Taking: Is Happiness the Channel?
SourceSOEP Paper No. 218, 2009, Berlin, Germany
URLhttp://ideas.repec.org/p/diw/diwsop/diw_sp218.html
Public16+ aged, households' members, Netherlands, 1993-2006
SampleSampling not reported
Non-Response
Respondents N =4500

Correlate
Author's labelUse of phone/internet banking and ATM
Page in Source 35
Our classificationPracticed ways of payment, code C09ac02ab
Operationalization
a: "Do you use phone banking?"
b: "Do you use internet banking?"
Rated as:
    1: no
    2: yes, very rarely
    3: yes, every now and thn
    4: yes, often
    5: yes, very often

c: "Do you prefer to go to ATM or counter of a bank?"
    1: I prefer the ATM
    2: I prefer the bank
    3: I have no particular preference

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HP-u-sq-v-5-ab=+.02
Using phone banking
O-HP-u-sq-v-5-ab=+.03
Using internet banking
O-HP-u-sq-v-5-ab=+.03
Preference for ATM or counter of a bank
O-HP-u-sq-v-5-ab=-3.1
Using internet banking
O-HP-u-sq-v-5-ab-iv=-2.7
Using phone banking
O-HP-u-sq-v-5-ab-iv=-1.6
Preference for ATM or counter of a bank

Instrument for happiness:
- last ten days cloud cover deviation

Bs controlled for:
- Personal characteristics
  - labor force status
  - marital status
  - household size
  - gender
  - health status
  - age
  - number of children
  - schooling
  - income
- province
- year fixed effects


Correlational finding on Happiness and Attitudes to consumption
Subject code: C09ad

StudyMichalos et al. (2001): study CA British Columbia 1999
TitleHealth and Other Aspects of the Quality of Life of Older People.
SourceSocial Indicators Research, 2001, Vol. 54, 239 - 274
DOIDOI: 10.1023/A:1011045307643
Public55-95 aged, Northern Interior Health Region, British Columbia, Canada, 1999
SampleNon-probability accidental sample
Non-Response
Respondents N =875

Correlate
Author's labelRetaill store access
Page in Source 262, 264
Our classificationAttitudes to consumption, code C09ad
Operationalization
Agreement with 3 statements:
a. There are enough stores in my area so that shopping 
is convenient
b. There are stores in my area but they are difficult 
to access
c. The stores in my area do not carry supplies that fit 
my needs

Rated: 
1: strongly disagree
.
.
5: strongly agree

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-u-sq-v-7-fBeta=-.12
Beta controlled for:
 - Physical age identity
 - Difficulties with housing costs
 - Personal worries
 - Living area
 - Ideal age preference
O-QLS-c-sq-v-7-bBeta=-.12
Beta controlled for:
 - Physical age identity
 - Difficulties with housing costs
 - Personal worries
 - Living area
 - Social age identity
 - Government planning
 - Worries getting around


Correlational finding on Happiness and Attitudes to consumption
Subject code: C09ad

StudyLee et al. (2002): study US 1997
TitleDeveloping a Subjective Measure of Consumers Well-Being.
SourceJournal of Macromarketing, 2002, Vol. 22, 158 - 169
DOIDOI:10.1177/0276146702238219
Public18+ aged, students, USA, 199?
SampleNon-probability purposive sample
Non-Response
Respondents N =298

Correlate
Author's labelSatisfaction with consumption
Page in Source 164,166
Our classificationAttitudes to consumption, code C09ad
Operationalization
Selfreport on 11 questions:

If you own any of the following items, please indicate 
the extent to which you are satisfied/dissatisied with 
using or consuming them. Since we sometimes use things 
we do not own or own things or service we do not use, 
it should be possible to separate our general 
satisfaction in a using a thing from our satisfaction 
in owning it. On these items, indicate only how you 
feel about using or consuming the item, not how you 
feel about owning it. Respond only to the items you 
use. 

a. Health care services (doctors, dentists, 
optometrists, etc.)
b. Banking/insurance services
c. Personal care services (barbers, hairdressers, 
manicurists, etc.)
d. Restaurants
e. Food and grocery items
f. Consumer electronis (CD player, TV, VCR, computers, 
etc.)
g. Furniture and/or appliances
h. Private transportation (cars, trucks, 
motorcycles,and bicycles)
i. clothing accessories, and jewelry
j. Utilities (electricity, telephone, etc.)
k. Savings and investments

Rated:
1=awful
2=bad
3=unsatisfactory
4=neutral
5=satisfactory
6=good
7=wonderful
0=no opinion, missing value

Composite index is average of 11 formative single 
indicators.

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-DT-u-sq-v-7-ar=+.66 p < .01
O-DT-u-sq-v-7-aBeta=+.22 p < .01
Beta controlled for satisfaction with:
- job
- family
- finance
- health
- education
- friendships
- leisure
- neighbors
- community
- spiritual
- taxes
- environment
- political situation
- housing
- cultural life
- social life

Unaffected by additional control for satisfaction 
with:
- acquisitions
- possessions
- repair services
- do-it-yourself repairs
- disposition
(consumer well-being)


Correlational finding on Happiness and Satisfaction with consumption level
Subject code: C09ad01

StudyLee et al. (2002): study US 1997
TitleDeveloping a Subjective Measure of Consumers Well-Being.
SourceJournal of Macromarketing, 2002, Vol. 22, 158 - 169
DOIDOI:10.1177/0276146702238219
Public18+ aged, students, USA, 199?
SampleNon-probability purposive sample
Non-Response
Respondents N =298

Correlate
Author's labelConsumer well-being
Page in Source 164
Our classificationSatisfaction with consumption level, code C09ad01
Operationalization
Consumer well-being measure is the summation of 6 
composite indexes on satisfaction with:
a acquisition
b possessions
c consumption
d repair services
e do-it-yourself repairs
f disposition

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-DT-u-sq-v-7-ar=+.63 p < .01


Correlational finding on Happiness and Satisfaction with product availability
Subject code: C09ad03

StudyLee et al. (2002): study US 1997
TitleDeveloping a Subjective Measure of Consumers Well-Being.
SourceJournal of Macromarketing, 2002, Vol. 22, 158 - 169
DOIDOI:10.1177/0276146702238219
Public18+ aged, students, USA, 199?
SampleNon-probability purposive sample
Non-Response
Respondents N =298

Correlate
Author's labelSatisfaction with product disposition
Page in Source 164,166
Our classificationSatisfaction with product availability, code C09ad03
Operationalization
Selfreport on 7 questions:

For various reasons, people may be more or less happy 
with te disposability of a product. If you use any of 
the following products, please indicate the extent to 
which you are satisfied/dissatisfied with the product 
class when you dispose of the product or its packkage. 
Respond only to items you use.

a. Food (milk, canned foods, cookies, carbonated 
drinks, etc.)
b. Personal care products (toothpaste, shampoo, 
deodorant, etc.)
c. Cleaning and home maintenance products (detergents, 
window sprays, vacuum bags, air fresheners, paint, 
etc.)
d. Paper products
e. Baby care products (diapers, baby wipes, talcum 
powder, Vaseline, etc.)
f. Automotive products (oil, oil filters,antifreeze, 
car wax, batteries, tires, etc.)
g. Lawn and yard (leaves, grass, dead wood, etc.)

Rated:
1=awful
2=bad
3=unsatisfactory
4=neutral
5=satisfactory
6=good
7=wonderful
0=no opinion, missing value

Composite index is average of 7 formative single 
indicators.

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-DT-u-sq-v-7-ar=+.32 p < .01
O-DT-u-sq-v-7-aBeta=+.07 ns
Beta controlled for satisfaction with:
- job
- family
- finance
- health
- education
- friendships
- leisure
- neighbors
- community
- spiritual
- taxes
- environment
- political situation
- housing
- cultural life
- social life

Unaffected by additional control for satisfaction 
with:
- acquisitions
- possessions
- consumption
- repair services
- do-it-yourself repairs
(consumer well-being)


Correlational finding on Happiness and Consumption aspirations/motives
Subject code: C09ad04

StudyXiao & Li (2011): study CN 2005
TitleSustainable Consmuption and Life Satisfaction.
SourceSocial Indicators Research, 2011, Vol. 104, 323 -329
URLhttp://www.researchgate.net/publication/226764459_Sustainable_Consumption_and_Life_Satisfaction
DOIDOI:10.1007/s11205-010-9746-9
PublicGeneral public, 14 cities, China, 2005
SampleProbability simple random sample
Non-Response151
Respondents N =3372

Correlate
Author's labelGreen purchase intention
Page in Source 326-327
Our classificationConsumption aspirations/motives, code C09ad04
Operationalization
Selfreport on single question:
"Green products” are expensive, non-green products are 
less expensive, usually which do you choose:
1: Choose 'green products' even they are expensive
0: Choose those less expensive and don't care if they 
are green or not

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLu-u-sq-v-5-eAoV=
1: M = 3.49
0: M = 3.10
Set Image size:   

O-SLu-u-sq-v-5-eb=+.30 p < .0001
B controlled for:
-Green lifestyle intention
-Green purchase behavior
O-SLu-u-sq-v-5-eb=+.27 p < .0001
B controlled for:
-Green lifestyle intention
-Green purchase behavior
-Gender
-Age
-Education
-Family income


Correlational finding on Happiness and Consumption aspirations/motives
Subject code: C09ad04

StudyGuillen-Royo (2008): study PE 2004
TitleConsumption and Subjective Wellbeing: Exploring Basic Needs, Social Comparison, Social Integration and Hedonism in Peru.
SourceSocial Indicators Research, 2008, Vol. 89, 535 - 555
DOIDOI:10.1007/s11205-008-9248-1
PublicGeneral public, 7 poor communities, Peru, 2005
SampleNon-probability purposive sample
Non-Response
Respondents N =399

Correlate
Author's labelMotives for consumption
Page in Source 544-545
Our classificationConsumption aspirations/motives, code C09ad04
Operationalization
Selfreport on open questions about motives for current 
spending priorities:
a. providing the household basics
b. hedonism
c. social interaction

1: mentioned
0: not mentioned
Observed distributiona: M = 0.897; SD = 0.304; b: M = 0.11; SD = 0.31; c: M = 0.50; SD = 0.50

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-HL-c-sq-v-3-ab=+.40 p < .05
Providing the household basics
O-HL-c-sq-v-3-ab=-.37 p < .05
Hedonism
O-HL-c-sq-v-3-ab=-.47 p < .01
Social interaction

B's controlled for:
-Socio-demographic characteristic
 -age squared
 -male dummy
 -religion dummy
 -cohabiting dummy
 -chronic illness dummy
 -age
 -self-employed dummy
 -homemaker
-Basic needs
 -intermediate needs
-Consumption
 -relative expenditure
 -average expenditure


Correlational finding on Happiness and Consumption aspirations/motives
Subject code: C09ad04

StudyAnand et al. (2005): study GB 2000
TitleCapabilties and Well-Being: Evidence based on the Sen-Nussbaum Approach to Welfare.
SourceSocial Indicators Research, 2005, Vol. 74, 9 - 55
DOIDOI:10.1007/s11205-005-6518-z
Public16+ aged, general public, UK, 2000
SampleProbability stratified sample
Non-Response
Respondents N =12040

Correlate
Author's labelAfford holidays/new clothes/nourished
Page in Source 26-29
Our classificationConsumption aspirations/motives, code C09ad04
Operationalization
Selfreport on 3 questions:
A Holiday
  Would you like to be able to pay for a week's annual 
holiday away from home, but must do without because you 
cannot afford it?
1: No
0: Yes

B Buy new clothes
  Would you like to be able to buy new, rather than 
second hand, clothes, but must do without because you 
cannot afford it?
1: No
0: Yes

C Nourished
  Would you like to be able to eat meat, chicken, fish 
at least every second day, but must do without because 
you cannot afford it?
1: No
0: Yes

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-7-bb=+.22 p < .01
Holiday
 -Females
O-SLW-c-sq-n-7-bb=+.21 p < .01
 -Males
O-SLW-c-sq-n-7-bb=+.12 p < .05
Buy new clothes
 -Females
O-SLW-c-sq-n-7-bb=-.05 ns
 -Males
O-SLW-c-sq-n-7-bb=+.17 p < .05
Nourished
 -Females
O-SLW-c-sq-n-7-bb=+.24 p < .01
 -Males


B's controled for other aspects of capability:
- Opportunities for:
  - adequate nourishment
  - health limits
  - move to another house
  - car available
  - no vandalism or crime in the area
  - high education
- Mental problems: no more than usual
  - able to concentrate
  - sleep lost over worrying
  - feeling unhappy or depressed
  - strain
  - lose selfconfidence
- Control over life: no less than usual
  - capable of making decisions
  - able to overcome difficulties
  - able to face up to problems
- Being respected, no less than usual
  - think of yourself as worthless
  - played a usefull part in things
- Enjoy; no less tha usual
  - felt happy
  - enjoyed day-to-day activities
- Participate in society
  - able to work
- Satisfaction with life domains
  (residual variation: proxi for personality)
  - job
  - partner
  - health
  - house
  - household income
  - social life
  - leisure


Correlational finding on Happiness and Preference for 'green' consumption
Subject code: C09ad05

StudyXiao & Li (2011): study CN 2005
TitleSustainable Consmuption and Life Satisfaction.
SourceSocial Indicators Research, 2011, Vol. 104, 323 -329
URLhttp://www.researchgate.net/publication/226764459_Sustainable_Consumption_and_Life_Satisfaction
DOIDOI:10.1007/s11205-010-9746-9
PublicGeneral public, 14 cities, China, 2005
SampleProbability simple random sample
Non-Response151
Respondents N =3372

Correlate
Author's labelGreen lifestyle intention
Page in Source 326-327
Our classificationPreference for 'green' consumption, code C09ad05
Operationalization
Selfreport on single question:
In developed countries, the popularity of cars resulted 
in serious air pollution and high consumption caused 
trash disposal as a major socioeconomic issue. Then 
what lifestyle should we adopt:
1: to avoid environment pollution, do not adopt the 
lifestyle of high consumption
0: no matter what environment pollution would be, if 
having money, want to buy cars and live a life of high 
consumption

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLu-u-sq-v-5-eAoV= ns
1: M = 3.31
0: M = 3.31
Set Image size:   

O-SLu-u-sq-v-5-eb=-.00 ns
B controlled for:
-Green purchase intention
-Green purchase behavior
O-SLu-u-sq-v-5-eb=+.06 ns
B controlled for:
-Green purchase intention
-Green purchase behavior
-Gender
-Age
-Education
-Family income


Correlational finding on Happiness and Preference for 'green' consumption
Subject code: C09ad05

StudyXiao & Li (2011): study CN 2005
TitleSustainable Consmuption and Life Satisfaction.
SourceSocial Indicators Research, 2011, Vol. 104, 323 -329
URLhttp://www.researchgate.net/publication/226764459_Sustainable_Consumption_and_Life_Satisfaction
DOIDOI:10.1007/s11205-010-9746-9
PublicGeneral public, 14 cities, China, 2005
SampleProbability simple random sample
Non-Response151
Respondents N =3372

Correlate
Author's labelGreen purchase intention
Page in Source 326-327
Our classificationPreference for 'green' consumption, code C09ad05
Operationalization
Selfreport on single question:
"Green products” are expensive, non-green products are 
less expensive, usually which do you choose:
1: Choose 'green products' even they are expensive
0: Choose those less expensive and don't care if they 
are green or not

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLu-u-sq-v-5-eAoV=
1: M = 3.49
0: M = 3.10
Set Image size:   

O-SLu-u-sq-v-5-eb=+.30 p < .0001
B controlled for:
-Green lifestyle intention
-Green purchase behavior
O-SLu-u-sq-v-5-eb=+.27 p < .0001
B controlled for:
-Green lifestyle intention
-Green purchase behavior
-Gender
-Age
-Education
-Family income


Correlational finding on Happiness and Control over consumption
Subject code: C09ae

StudyGokdemir (2014): study XY Cyprus-Turkish 2011
TitleFactors that Influence the Life Satisfaction of Women Living in the Northern Cyprus.
SourceSocial Indicators Research, 2014, Vol. 115, 1071 - 1085
URLhttp://link.springer.com/article/10.1007%2Fs11205-013-0265-3#page-1
DOIdoi:10.1007/s11205-013-0265-3
Public18+ aged women, Northern Cyprus, 2011
SampleProbability sample (unspecified)
Non-Response
Respondents N =510

Correlate
Author's labelParticipation in household expenditure
Page in Source 1078,1082
Our classificationControl over consumption, code C09ae
Operationalization
Question asked: Do you participate in the household 
expenditures?
1. Non-participation
---
4. Full participation
Remarks
Text on p.1078 indicates that participation in 
decision-making was meant.

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-n-10-acBeta=+.17
Beta controled for:
- religion
- health
- education
- marital status
- age
- household income
- social reference income
- financial status
- being a victim domestic violence
- witnessing domestic violence
- gender discrimination
- employment
- housewife
- perception of government performance
- political preference


Appendices

Appendix 1: Happiness measures used

CodeFull Text
C-BW-c-sq-l-11-aSelfreport on single question:

Here is a picture of a ladder. Suppose we say that the top of the ladder represents the best possible life for you and the bottom represents the worst possible life for you. Where on the ladder do you feel you personally stand at the present time?
[ 10 ] best possible life
[ 9 ]
[ 8 ]
[ 7 ]
[ 6 ]
[ 5 ]
[ 4 ]
[ 3 ]
[ 2 ]
[ 1 ]
[ 0 ] worst possible life


Preceded by 1) open questions about what the respondent imagines as the best possible life and the worst possible life. 2) ratings on the ladder of one's life five years ago and where on the ladder one expects to stand five years from now.

Name: Cantril's self anchoring ladder rating of life (original)
M-FH-c-sq-n-11-dSelfreport on single question

Currently, how happy are you feeling?
10 very happy
9
8
7
6
5
4
3
2
1
0 very unhappy
M-FH-cw-sq-v-5-cSelfreport on single question

Over the past 7 days, I have felt
5 extremely happy
4 mostly happy
3 moderately happy
2 a little bit happy
1 not at all happy
M-FH-g-sq-v-5-bSelfreport on single question:

Do you feel happy in general?
1 no
2 rarely
3 sometimes
4 most of the time
5 yes
O-DT-u-sq-v-7-aSelfreport on single question:

How do you feel about your life as a whole.....?
7 delighted
6 pleased
5 mostly satisfied
4 mixed
3 mostly dissatisfied
2 unhappy
1 terrible

Name: Andrews & Withey's `Delighted-Terrible Scale' (original version)
O-DT-u-sqt-v-7-aSelfreport on single question, asked twice in interview:

How do you feel about your life as a whole......?
7 delighted
6 pleased
5 mostly satisfied
4 mixed
3 mostly dissatisfied
2 unhappy
1 terrible

Summation: arithmetic mean

Name: Andrews & Withey's "Delighted-Terrible Scale" (original version)
Also known as Lehman's 'Global lifesatisfaction'
O-HL-?-sq-v-5-eSelfreport on single question:

.. Lead text not reported..
5 very happy
4 rather happy
3 average
2 rather unhappy
1 unhappy
O-HL-c-sq-v-3-aSelfreport on single question:

Taking all together, how would you say things are these days? Would you say you are .....?
3 very happy
2 pretty happy
1 not too happy
O-HL-c-sq-v-3-abSelfreport on single question:

Taking all things together, how would you say things are these days? Would you say you are...?
3 very happy
2 fairly happy
1 not too happy
O-HL-c-sq-v-4-caSelfreport on single question:

Would you say your life at the moment is ....?
1 very unhappy
2 unhappy
3 happy
4 very happy
- don't know
O-HL-g-sq-v-5-aSelfreport on single question:

In general, how happy would you say you are.....?
1 very unhappy
2
3
4
5 very happy

Labels of other response options not reported
O-HL-u-sq-n-10-bSelfreport on single question:

Taking all things together on a scale of one to 10, how happy would you say you are? Here one means you are very unhappy and 10 means you are very happy
10 very happy
9
8
7
6
5
4
3
2
1 very unhappy
O-HL-u-sq-v-7-fSelfreport on single question:

Considering your life as a whole, how happy would you say you are?
1 very unhappy
2 somewhat unhappy
3 a little unhappy
4 evenly balanced
5 a little happy
6 somewhat happy
7 very happy
O-HP-u-sq-v-5-aSelfreport on single question

To what extent do you consider yourself a happy person....?
5 very happy
4 happy
3 neither happy nor unhappy
2 not very happy
1 unhappy
O-HP-u-sq-v-5-dSelfreport on single question:

To what extent do you think of yourself as a happy person?
5 very happy
4 happy
3 neither happy nor unhappy
2 unhappy
1 very unhappy
- don't know
O-QLS-c-sq-v-7-bSelfreport on single question:

Here are some features of people’s lives affecting them today. Please indicate how satisfied you are with each of them....
How satisfied are you with your overall quality of life?
1 very dissatisfied
2 somewhat dissatisfied
3 a little dissatisfied
4 about evenly balanced
5 a little satisfied
6 somewhat satisfied
7 very satisfied
O-QOL-c-sq-ol-101-aSelfreport on single question:

.. Global life quality.. (full text not reported)
0 lowest quality
.
.
100 highest quality

Rated on line scale with 10 point demarcations between 0 and 100

Name: Spitzer Uniscale
O-QOL-cw-sq-v-5-aSelfreport on single question

Over the past 7 days, how satisfied were you with your quality of life?
5 extremely satisfied
4 mostly satisfied
3 moderately satisfied
2 a little satisfied
1 not at all satisfied
O-SL?-?-sq-v-5-gSelfreport on single question:

"........satisfaction with life........" (full question not reported)
1 dissatisfied
2 rather dissatisfied
3 neither dissatisfied nor satisfied
4 rather satisfied
5 satisfied
O-SLL-c-sq-v-5-dSelfreport on single question:

How satisfied are you with the life you currently lead?
5 extraordinary satisfied
4 very satisfied
3 satisfied
2 fairly satisfied
1 not very satisfied
O-SLu-u-sq-v-5-eSelf report on single question:

Overall, how satisfied (content, happy) are you with your life?
1 very unsatisfied
2 unsatisfied
3 neither unsatisfied nor satisfied
4 satisfied
5 very satisfied
O-SLu-u-sq-v-5-jSelfreport on single question:

Are you satisfied with your life?
1 very dissatisfied
2
3
4
5 very satisfied

Labels of intermediate response options not reported
O-SLW-c-sq-n-10-acSelfreport on single question:

If you consider all the aspects of your recent life, in what measure are you satisfied with it?
1 completely unsatisfied
2
3
4
5
6
7
8
9
10 completely satisfied
O-SLW-c-sq-n-10-fSelfreport on single question:

All in all, to what degree are you satisfied with your life now?
1 dissatisfied
2
3
4
5
6
7
8
9
10 very satisfied
O-SLW-c-sq-n-11-bbSelfreport on single question;

Now, let's talk about your life as a whole. All things considered, how satisfied or dissatisfied are you with your life as a whole these days?
0 completely dissatisfied
1
2
3
4
5
6
7
8
9
10 completely satisfied
O-SLW-c-sq-n-11-bdSelfreport on single question:

All things considered, how satisfied are you with your life as a whole these days?
0 completely dissatisfied
1
2
3
4
5
6
7
8
9
10 completely satisfied
O-SLW-c-sq-n-11-dSelfreport on single question:

Taking all things together, how satisfied are you with your life these days? Please answer with the help of this scale. For instance, when you are totally satisfied with your life, please tick '10'. When you are totally unsatisfied with your life, please tick '0'. You may use all values in between to indicate that you are neither totally satisfied nor totally unsatisfied."
10 totally satisfied
9
8
7
6
5
4
3
2
1
0 totally unsatisfied
O-SLW-c-sq-n-7-aSelfreport on single question:

We have talked about various parts of your life, now I want to ask you about your life as a whole. How satisfied are you with your life as a whole these days.....?
7 completely satisfied
6
5
4 neutral
3
2
1 completely dissatisfied
O-SLW-c-sq-n-7-bSelfreport on single question

Here are some questions about how you feel about your life. Please tick the number which you feel best describes how dissatisfied or satisfied you are with the following aspects of your current situation…
Your life as a whole.
1 not satisfied at all
2
3
4
5
6
7 completely satisfied

Last item in a list of domain satisfactions
O-SLW-c-sq-v-5-gSelfreport on single question:

Taken all things together, how satisfied are you with your life as a whole these days? On the whole, would you say you are.....?
5 very satisfied
4 satisfied
3 neither satisfied nor dissatisfied
2 dissatisfied
1 very dissatisfied
O-SLW-c-sq-v-5-hSelf report on single question:

To what extend are you satisfied with your life in general at the present time?
1 not at all satisfied
2 less than satisfied
3 neither satisfied nor dissatisfied
4 rather satisfied
5 fully satisfied
O-SLW-c-sq-v-5-uSelfreport on single question:

All things considered, I am satisfied with my life now
1 strongly disagree
2 disagree
3 neither agree nor disagree
4 agree
5 strongly agree
O-SLW-c-sq-v-7-gSelfreport on single question:

How satisfied are you with your life as a whole these days?
7 completely satisfied
6 quite satisfied
5 somewhat satisfied
4 neither satisfied nor dissatisfied
3 somewhat dissatisfied
2 quite dissatisfied
1 completely dissatisfied
O-SLW-u-sq-n-5-aSelfreport on single question:

Taking all together, how satisfied are you with your life-as-a-whole? Please mark a number below.
5 very satisfied
4
3
2
1 not at all satisfied
O-SLW-u-sq-v-2-bSelfreport on single question:

Are you satisfied with your life as a whole?
1 yes
0 no
O-SLW-u-sq-v-5-eSelfreport on single question:

Considering the whole situation: how satisfied are you about your daily life?
1 very unsatisfied
2 unsatisfied
3 neither unsatisfied, nor satisfied
4 satisfied
5 very satisfied

Numbering reversed in original (very unsatisfied '5', very satisfied '1')
O-SLW-u-sq-v-5-ISelfreport on single question:

Now please think about your life as a whole. How satisfied are you with it? Are you..
5 completely satisfied
4 very satisfied
3 somewhat satisfied
2 not very satisfied
1 not at all satisfied
- don't know
- no answer
O-SLW-u-sq-v-5-rSelf report on single question:

How satisfied are you with your life as a whole?
1 very dissatisfied
2 dissatisfied
3 neither satisfied nor dissatisfied
4 satisfied
5 very satisfied


Appendix 2: Statistics used

SymbolExplanation
AoVANALYSIS of VARIANCE (ANOVA)
Type: statistical procedure
Measurement level: Correlate(s): nominal, Happiness: metric.
In an ANOVA, the total happiness variability, expressed as the sum of squares, is split into two or more parts, each of which is assigned to a source of variability. At least one of those sources is the variability of the correlate, in case there is only one, and always one other is the residual variability, which includes all unspecified influences on the happiness variable. Each sum of squares has its own number of degrees of freedom (df), which sum up to Ne -1 for the total variability. If a sum of squares (SS) is divided by its own number of df, a mean square (MS) is obtained. The ratio of two correctly selected mean squares has an F-distribution under the hypothesis that the corresponding association has a zero-value.

NOTE: A significantly high F-value only indicates that, in case of a single correlate, the largest of the c mean values is systematically larger than the smallest one. Conclusions about the other pairs of means require the application of a Multiple Comparisons Procedure (see e.g. BONFERRONI's MULTIPLE COMPARISON TEST, DUNCAN's MULTIPLE RANGE TEST or STUDENT-NEWMAN-KEULS)
bREGRESSION COEFFICIENT (non-standardized) by LEAST SQUARES (OLS)
Type: test statistic
Measurement level: Correlate: metric, Happiness: metric
Theoretical range: unlimited

Meaning:
b > 0 A higher correlate level corresponds with a higher happiness rating on average.
B < 0 A higher correlate level corresponds with a lower happiness rating on average.
B = 0 Not any correlation with the relevant correlate.
b-ivREGRESSION COEFFICIENT in regression ananlysis with instrumental variable as one or more explanatory variables
Type: test statistic.
Correlate level: metric, Happiness level: metric
Theoretical range: unlimited

Meaning:
Variant of usual (non-standardized) regression coefficient (b), which controls for correlation of happiness with a variable that is unrelated to the independent variable, e.g. for b of happiness with body length in an analysis of the relation between happiness and lottery playing, assuming that there is no relation between body length and lottery playing. Aims to eliminate reversed causality and spurious correlation.

References:
Wikipedia: http://en.wikipedia.org/wiki/Instrumental_variable
http://homepage.univie.ac.at/Christine.Zulehner/iv.pdf
Beta STANDARDIZED REGRESSION COEFFICIENT by LEAST SQUARES (OLS)
Type: test statistic.

Measurement level: Correlates: all metric, Happiness: metric.
Range: [-1 ; +1]

Meaning:
beta > 0 « a higher correlate level corresponds to a higher happiness rating on average.
beta < 0 « a higher correlate level corresponds to a higher happiness rating on average.
beta = 0 « no correlation.
beta = + 1 or -1 « perfect correlation.
D%DIFFERENCE in PERCENTAGES
Type: descriptive statistic only.
Measurement level: Correlate level: dichotomous, but nominal or ordinal theoretically possible as well. Happiness level: dichotomous
Range: [-100; +100]

Meaning: the difference of the percentages happy people at two correlate levels.
DMDIFFERENCE of MEANS
Type: descriptive statistic only.
Measurement level: Correlate: dichotomous, Happiness: metric
Range: depending on the happiness rating scale of the author; range symmetric about zero.

Meaning: the difference of the mean happiness, as measured on the author's rating scale, between the two correlate levels.
DMaDIFFERENCE IN ADJUSTED MEANS, See also Ma
Type: test statistic
Computed in Analysis of Covariance (ANCOVA) or in multiple classification analysis (MCA)
Seldom used in happiness research. See excerpted report for further reference.
OPRCORDERED PROBIT REGRESSION COEFFICIENT
Statistic: Ordered probit regression coefficient
Measurement level: Correlate: metric, Happiness: ordered responses
Theoretical range: unlimited

OPRC > 0 A higher level corresponds with the probability of a higher happiness rating.
OPRC< 0 A higher level corresponds with the probability of a lower happiness rating.
OPRC = 0 Not any correlation with the relevant correlate.

Remarks:
Signs and significance of coefficients estimated by ordered probit estimates are comparable to REGRESSION COEFFICIENTS estimated by LEAST SQUARES (OLS). Relative magnitudes of the regressor to those of other regressors are also comparable to Ordinary Least squares Estimations. Absolute magnitudes of coefficients are not interpretable.
ORODDS RATIO
Type: descriptive statistic only.
Measurement level: Correlate: dichotomous, Happiness level: dichotomous
Range: nonnegative unlimited

Meaning:
OR = 1 « no association at all;
OR = 0 or infinite « at least one level of the correlate allows an error-free prediction of the happiness.
rPRODUCT-MOMENT CORRELATION COEFFICIENT (Also "Pearson's correlation coefficient' or simply 'correlation coefficient')
Type: test statistic.
Measurement level: Correlate: metric, Happiness: metric
Range: [-1; +1]

Meaning:
r = 0 « no correlation ,
r = 1 « perfect correlation, where high correlate values correspond with high happiness values, and
r = -1 « perfect correlation, where high correlate values correspond with low happiness values.
COEFFICIENT of DETERMINATION
Type: test statistic
Measurement level: Correlates: all metric, Happiness: metric
Range: [0; 1]

Meaning:
R² = 0 « no influence of any correlate in this study has been established.
R² = 1 « the correlates determine the happiness completely.


Appendix 3: About the World Database of Happiness

Structure of the collections

The World Database of Happiness is an archive of research findings on subjective enjoyment of life .
It brings together findings that are scattered throughout many studies and provides a basis for synthetic work.

World literature on subjective wellbeing


Selection on fit with definition of happiness

Bibliography    and     Directory    

Selection of empirical studies and within these on valid measurement: Happiness measures
Abstracting and classification of findings

How happy people are, distributional findings What goes together with happiness

Happiness in nations
Happiness in regions
Happiness in publics
Correlational findings

  Listing of comparable findings in nations  
States of nations   ,   Trends in nations


Size of the collections
11848 publications in Bibliography of happiness, of which 6189 report an empirical study that is eligible for inclusion in the findings archive.
1137 measures of happiness, mostly single survey questions varying in wording and response scale.
12252 distributional findings in the general public, of which 8495 in 172 nations (former nations and de facto nations included) and 3757 findings in 2454 regions and cities in nations.
2106 studies with findings in 160 specific publics.
15522 correlational findings observed in 2051 studies, excerpted from 1565 publications.

Appendix 4 Further Findings in the World Database of Happiness

Main Subjects Subject Description Number of Studies
A01ACTIVITY (how much one does)72
A02ACTIVITY: PATTERN (what one does)114
A03AFFECTIVE LIFE82
A04AGE668
A05AGGRESSION14
A06ANOMY33
A07APPEARANCE (good looks)24
A08ATTITUDES12
A09AUTHORITARIANISM4
B01BIRTH CONTROL0
B02BIRTH HISTORY (own birth)205
B03BODY99
C01CHILDREN12
C02CHILDREN: WANT FOR (Parental aspirations)13
C03CHILDREN: HAVING (parental status)314
C04CHILDREN: CHARACTERISTICS OF ONE'S CHILDREN34
C05CHILDREN: RELATION WITH ONE'S CHILDREN17
C06CHILDREN: REARING OF ONE'S CHILDREN (parental behavior)35
C07COMMUNAL LIVING16
C08CONCERNS46
C09CONSUMPTION114
C10COPING64
C11CREATIVENESS7
C12CRIME2
C13CULTURE (Arts and Sciences)49
D01DAILY JOYS & HASSLES7
D02DISASTER1
E01EDUCATION527
E02EMPLOYMENT 793
E03ETHNICITY171
E04EXPRESSIVE BEHAVIOR12
F01FAMILY OF ORIGIN (earlier family for adults, current for young)320
F02FAMILY OF PROCREATION102
F03FAMILY OF RELATIVES192
F04FARMING66
F05FREEDOM56
F06FRIENDSHIP238
G01GENDER633
G02GRIEF1
H01HABITS2
H02HANDICAP47
H03HAPPINESS: VIEWS ON HAPPINESS120
H04HAPPINESS: DISPERSION OF HAPPINESS18
H05HAPPINESS: CAREER226
H06HAPINNESS: EFFECT OF CONDITIONS FOR HAPPINESS1
H07HAPPINESS: CORRESPONDENCE OF DIFFERENT MEASURES342
H08HAPPINESS OF OTHERS6
H09HAPPINESS: REPUTATION OF HAPPINESS26
H10HEALTH-BEHAVIOR33
H11HELPING16
H12HOPE35
H13HOUSEHOLD: COMPOSITION243
H14HOUSEHOLD: WORK41
H15HOUSING264
I01INCOME1054
I02INSTITUTIONAL LIVING44
I03INTELLIGENCE86
I04INTERESTS17
I05INTERVIEW 87
I06INTIMACY143
L01LANGUAGE18
L02LEADERSHIP14
L03LEISURE328
L04LIFE APPRAISALS: OTHER THAN HAPPINESS462
L05LIFE CHANGE70
L06LIFE EVENTS107
L07LIFE GOALS119
L08LIFE HISTORY11
L09LIFE STYLE 39
L10LOCAL ENVIRONMENT705
L11LOTTERY14
L12LOVE-LIFE44
M01MARRIAGE: MARITAL STATUS CAREER108
M02MARRIAGE: CURRENT MARITAL STATUS874
M03MARRIAGE: RELATIONSHIP155
M04MARRIAGE: PARTNER78
M05MEANING31
M06MEDICAL TREATMENT107
M07MENTAL HEALTH306
M08MIGRATION: TO OTHER COUNTRY97
M09MIGRATION: MOVING WITHIN COUNTRY (residential mobility)49
M10MIGRATION: MIGRANT WORK5
M11MILITARY LIFE13
M12MODERNITY5
M13MOOD338
M14MOTIVATION21
M15MOBILITY21
N01NATION: NATIONALITY70
N02NATION: ERA (temporal period)124
N03NATION: NATIONAL CHARACTER (modal personality)75
N04NATION: CONDITION IN ONE'S NATION1005
N05NATION: POSITION OF ONE'S NATION16
N06NATION: ATTITUDES TO ONES NATION199
N07NATION: LIVABILITY OF ONE'S NATION53
N08NATION: ATTITUDINAL CLIMATE14
N09NATION: REGION133
N10NUTRITION37
N11NATION: AREA2
O01OCCUPATION224
O02ORGAN TRANSPLANTATION17
P01PERSONALITY: HISTORY55
P02PERSONALITY: CHANGE11
P03PERSONALITY: CURRENT ORGANIZATION10
P04PERSONALITY: CURRENT TRAITS722
P05PERSONALITY: LATER21
P06PHYSICAL HEALTH 819
P07PLANNING11
P08POLITICAL BEHAVIOUR285
P09POPULARITY30
P10POSSESSIONS152
P11PRISON3
P12PROBLEMS30
P13PSYCHO-SOMATIC COMPLAINTS63
P14PETS4
R01RELIGION425
R02RESOURCES29
R03RETIREMENT152
R04ROLES31
S01SCHOOL205
S02SELF-IMAGE313
S03SEX-LIFE77
S04SLEEP17
S05SOCIAL MOBILITY25
S06SOCIAL PARTICIPATION: PERSONAL CONTACTS98
S07SOCIAL PARTICIPATION : VOLUNTARY ASSOCIATIONS152
S08SOCIAL PARTICIPATION: TOTAL (personal + associations)54
S09SOCIO-ECONOMIC STATUS189
S10SOCIAL SUPPORT: RECEIVED115
S11SOCIAL SUPPORT: PROVIDED24
S12SPORTS62
S13STIMULANTS85
S14SUICIDE10
S15SUMMED DETERMINANTS166
T01TIME 104
T02THERAPY56
T03TOLERANCE39
T05TRUST47
V01VALUES: CAREER6
V02VALUES: CURRENT PREFERENCES (own)163
V03VALUES: CLIMATE (current values in environment)13
V04VALUES: SIMILARITY (current fit with others)13
V05VALUES: LIVING UP TO18
V06VICTIM 31
W01WAR7
W02WISDOM1
W03WORK: CAREER1
W04WORK: CONDITIONS120
W05WORK: ATTITUDES412
W06WORK: PERFORMANCE (current)37
W07WORRIES57
X01UNCLASSIFIED34


Appendix 5: Related Subjects

SubjectRelated Subject(s)
C09CONSUMPTIONI01INCOME
C09CONSUMPTIONP10POSSESSIONS
C09aa02Change in consumptionL09aa02Change in life-style
C09aa02aConsuming lessL09ab02aAlternative life style
C09aa02aaSpend less on foodC09ab02iFood
C09aa02aaSpend less on foodN10ab04How much one spends on eating
C09aa02abSpend less on luxuryC09ab02hLuxury
C09aa02acSpend less on medicationC09ab02eHealth
C09aa02adSpend less on stimulantsC09ab02dExperiences
C09aa02adSpend less on stimulantsC09ab02lStimulants
C09aa02aeSpend less on utilitiesC09ab02nUtilities
C09abCurrent consumptionP10ab05Savings
C09ab01Consumption levelL10ac02Local consumption level
C09ab01Consumption levelL09abCurrent life-style
C09ab01Consumption levelI01ac04Material standard of living
C09ab01bRelative level to othersC09ab03dPositional goods
C09ab01bRelative level to othersI01aeRelative income
C09ab01cRelative to incomeC09aeControl over consumption
C09ab01cRelative to incomeI01ac03Being able to save
C09ab01cRelative to incomeP10ab05Savings
C09ab02aEducationS01SCHOOL
C09ab02aEducationN04ag01dSpending on education
C09ab02aEducationE01EDUCATION
C09ab02eHealthC09aa02acSpend less on medication
C09ab02eHealthC09ab02kPersonal care
C09ab02fHousingH15HOUSING
C09ab02gLeisureL03LEISURE
C09ab02gaHoliday travelL03ac02jTraveling
C09ab02hLuxuryP10ab02Specific possessions
C09ab02hLuxuryC13ab03Kind of cultural consumption
C09ab02haArtC13ab03Kind of cultural consumption
C09ab02iFoodL03ac02bEating/drinking out
C09ab02iFoodN10NUTRITION
C09ab02iaGroceriesA02ac01Eating
C09ab02kPersonal careC09ab02eHealth
C09ab02kPersonal careL03ac02aPersonal care
C09ab02lStimulantsS13STIMULANTS
C09ab02lStimulantsC09aa02adSpend less on stimulants
C09ab02maCarP10ab02bCar
C09ab02nUtilitiesC09aa02aeSpend less on utilities
C09ab02nUtilitiesH15acCost of housing
C09ab03aaTelephoneP10ab02eTelephone
C09ab03adTVL03ac02kTv watching, radio listening
C09ab03adTVP10ab02dTv
C09ab03cGreen productsV02ab04Ecological values
C09ab03cGreen productsC09ad05Preference for 'green' consumption
C09ab03dPositional goodsC09ab01bRelative level to others
C09ab03dPositional goodsS09SOCIO-ECONOMIC STATUS
C09acPurchase behaviorL03ac02hShopping
C09ac01aon internetL03ac02fInternet
C09ad01Satisfaction with consumption levelI01af05eSatisfaction with standard of living
C09ad02Satisfaction with consumption patternL09ad02Satisfaction with lifestyle
C09ad03Satisfaction with product availabilityL10ad02eSatisfaction with local shops
C09ad04Consumption aspirations/motivesL07ab02Object of life-goals
C09ad04Consumption aspirations/motivesL09ad02Satisfaction with lifestyle
C09ad05Preference for 'green' consumptionC09ab03cGreen products
C09ad05Preference for 'green' consumptionV02ab04Ecological values
C09aeControl over consumptionF05FREEDOM
C09aeControl over consumptionP04boInner locus of control

A report of the World Database of Happiness, Correlational Findings