Correlational finding on Happiness and Sex (male vs female)
Subject code: G01aa

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 labelGender
Page in Source 531-535
Our classificationSex (male vs female), code G01aa
Operationalization
1 Male
0 Female
Observed distributionMales: 48%; females: 52%
Remarks
Order and hence association reversed by WDH-team

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
D-LS-c-sq-n--ab-rif=-.04 ns
b-rif controlled for:
- age
- marital status
- 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=+.21 ns
b-rif additionally controlled for:
- irregular job
- likely unemployed
- public pensions
D-LS-c-sq-n--ab-rif=+.20 ns
b-rif 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