Correlational finding on Happiness and Family business
Subject code: E02ae01

StudyLitchfield et al. (2012): study AL 2005
TitleAn Analysis of Life Satisfaction in Albania: An Heteroscedastic Ordered Probit Model Approach.
SourceJournal of Economic Behavior and Organization, 2012, Vol. 81, 731 - 741
DOIDOI:10.1016/j.jebo.2010.12.020
PublicWorking aged (15-65), Albania, 2005
SampleProbability multi-stage cluster sample
Non-Response
Respondents N =2923

Correlate
Author's labelEmployed on household business
Page in Source 26, 28
Our classificationFamily business, code E02ae01
Operationalization
1 yes
0 no
Observed distributionM = 0.1632

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-c-sq-v-4-iOPRC=-.23 p < .01
OPRC contolled for:
- education
- illness
- religion
- marital status
- household status
- age
- gender
- lnprcons (2002 leks)
- transfers
- nchildr
- nfriends
- pyramid
- livealone
- insidewc
- dwelling size
- land dispute
- thefts
- pop_increase
- comm_org
- location


Appendix 1: Happiness measures used
CodeFull Text
O-SLW-c-sq-v-4-iSelf report on single question

By bearing in mind the last 12 months, are you on the wholer satisfied or dissatisfied with your present life?
4 fully satisfied
3 rather satisfied
2 less than satisfied
1 not satisfied at all
- no answer


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.
http://worlddatabaseofhappiness.eur.nl