Correlational finding on Happiness and Summed effects of current individual conditions (micro level)
Subject code: S15ab

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 labelSummed determinants
Page in Source 534-535,541-542
Our classificationSummed effects of current individual conditions (micro level), code S15ab
Operationalization
Sum of:
- 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
- subjective poverty/wealth
- irregular job
- likely unemployed future
- major city

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
D-LS-c-sq-n--aRČ=+.07 ns


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
COEFFICIENT of DETERMINATION
Type: test statistic
Measurement level: Correlates: all metric, Happiness: metric
Range: [0; 1]

Meaning:
RČ = 0 « no influence of any correlate in this study has been established.
RČ = 1 « the correlates determine the happiness completely.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl