Correlational finding on Happiness and Insurances
Subject code: P12ab04

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 labelPublic pensions
Page in Source 534-535,542
Our classificationInsurances, code P12ab04
Operationalization
Public pension as a % of hh income???? Ask author
1   0-10%
2   10-20%
3   20-30%
4   30-40%
5   40-50%
6   50-60%
7   60-70%
8   70-80%
9   80-90%
10 >=90%
Remarks
Question not reported

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
D-LS-c-sq-n--ab-rif=-.01 p < .05
b-rif controlled for:
- age
- gender
- marital status
- has child(ren)
- education
- household size
- poor health
- household income
- homeownership
- has loans
- not in labor force
- unemployed
- risk lover
- low time preference
- irregular job
- likely unemployed future
- major city

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