Correlational finding on Happiness and Divorced or separated
Subject code: M02ab03

StudyNiimi (2018): study JP 2013
TitleWhat Affects Happiness Inequality? Evidence from Japan.
SourceJournal of Happiness Studies, 2018, Vol. 19, 521 - 543
URLhttps://doi .org/l 0.1007 /s10902-016-9835-9
Public20-69 aged, general public, Japan, 2013
SampleProbability stratified sample
Non-Response
Respondents N =3257

Correlate
Author's labelNo longer married vs. married
Page in Source 531-535
Our classificationDivorced or separated, code M02ab03
Operationalization
1 No longer married
0 Married
Observed distributionNot married anymore: 8%

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
D-LS-c-sq-n--ab-rif=-1.9 p < .01
b-rif= -1.876

b-rif controlled for:
- age
- gender
- education
- poor health
- having a child
- household size
- household income
- homeownership
- has loans
- unemployed
- not in labor force
- altruistic
- risk lover
- low time preference
- major city
D-LS-c-sq-n--ab-rif=-1.8 p < .01
b-rif= -1.768

b-rif additionally controlled for:
- irregular job
- likely unemployed
- public pensions

b-rif not significantly affected when additionally 
controlled for:
- relatively poor
- relatively rich


Appendix 1: Happiness measures used
CodeFull Text
D-LS-c-sq-n--aStandard deviation of 0-10 score on single question "overall, how happy would you say you are currently?"


Appendix 2: Statistics used
SymbolExplanation
b-rifLeast square regression coefficient in RIF-regression, where the dependent variable is th influence on a distributionakl statistic (f.e. variance, GINI)
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl