Correlational finding on Happiness and Household income
Subject code: I01ab03

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 labelHousehold income
Page in Source 534-535,541
Our classificationHousehold income , code I01ab03
Operationalization
Selfreport on a single question, afterwards categorized 
(in millions of yen):
1   < 1 
2   1-2
3   2-4
4   4-6
5   6-8
6   8-10
7   10-12
8   12-14
9   14-16
10 16-18
11 18-20
.
.
.
20 >= 20
Then divided (in 10.000 yen) by the number of household 
members and taken it's natural logarithm

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
D-LS-c-sq-n--ab-rif=-.80 p < .01
b-rif controlled for:
- age
- gender
- marital status
- has child(ren)
- education
- household size
- poor health
- homeownership
- has loans
- unemployed
- not in labor force
- altruistic
- risk lover
- low time preference
- major city
D-LS-c-sq-n--ab-rif=-.60 p < .01
b-rif additionally controlled for:
- irregular job
- likely unemployed
- public pension
D-LS-c-sq-n--ab-rif=-.47 p < .01
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