Correlational finding on Happiness and Number of persons in household
Subject code: H20ab03

StudyShields et al. (2009): study AU 2001
TitleLife Satisfaction and the Economic and Social Characteristics of Neighbourhoods.
SourceJournal of Population Economics, 2009, Vol. 22, 421 - 443
DOIDOI: 10.1007/s00148-007-0146-7
Public15+ aged general public, Australia, 2001
SampleProbability multi-stage random
Non-Response34%
Respondents N =13903

Correlate
Author's labelNumber of parents
Page in Source 433, 440
Our classificationNumber of persons in household, code H20ab03
Operationalization
Retrived from the number of people filling out the 
questionnaire in a household
Observed distributionMales: M=2.34 SD=.98; Females: M=2.26 SD=.99

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-u-sq-n-11-dOPRC=+.01 ns
MALES
O-SLW-u-sq-n-11-dOPRC=+.01 ns
FEMALES

OPRC's controlled for:
- neighbourhood fixed effects (unobserved 
characteristics of the neighbourhood)
- age and age squared
- number of children
- marital status
- being an Aborginal/Torres Strait Islander
- being an immigrant
- English speaking ability
- health
- education
- employment status
- household income
- house ownership
- religion
- frequency-preference of paying bills
- suspicious of interview questions
- others present during interview
- respondent was living with both parents  
  at age 14


Appendix 1: Happiness measures used
CodeFull Text
O-SLW-u-sq-n-11-dSelfreport on single question:

All things considered, how satisfied are you with your life?
Again, pick a number between 0 and 10 to indicate how satisfied you are.
0 totally dissatisfied
1
2
3
4
5
6
7
8
9
10 totally satisfied


Appendix 2: Statistics used
SymbolExplanation
OPRCORDERED PROBIT REGRESSION COEFFICIENT
Statistic: Ordered probit regression coefficient
Measurement level: Correlate: metric, Happiness: ordered responses
Theoretical range: unlimited

OPRC > 0 A one unit increase in the independent variable corresponds to a higher probability of responding in the highest category of the dependent variable and to a lower probability of responding in the lowest category of the dependent variable.

OLRC< 0 A one unit increase in the independent variable corresponds to a lower probability of responding in the highest category of the dependent variable and to a higher probability of responding in the lowest category of the dependent variable.

OLRC = 0 No relationship between the independent and dependent variable..

Remarks:
The interpretation for the intermediate categories of the dependent variable are ambiguous. It is advised to use marginal effects..
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl