Correlational finding on Happiness and subject: Household income

StudySchyns (2000): study RU 1993
TitleThe Relationship between Income, Changes in Income and Life-Satisfaction in West Germany and the Russian Federation. Relative, Absolute or a Combination of Both?
SourceDiener, E.;Rathz, D.R.;Eds.: "Advances in Quality of Life Theory and Research", Kluwer, 2000, Dordrecht, Netherlands, 83 - 110
Public18+ aged general public, Russia, followed 3 years 1993-1996
SampleProbability multi-stage cluster sample
Non-Response
Respondents N =0

Correlate
Author's labelIncome level
Page in Source 101
Our classificationHousehold income
Operationalization
Self-reported amount of total montly household income 
before taxes (in roubles), corrected for inflation
Remarks
Assessed at T1: 1995; T2:1996

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
O-SLW-u-sq-n-11-dBeta=0
T2 Happiness by T2 income

Beta controlled for:
- Age
- Education
- Marital status
- Employment status
Set Image size:   



Appendix 1: Happiness measures used
CodeFull Text
O-SLW-u-sq-n-11-dSelfreport on single question:

All things considered, how satisfied are you with your life?
Again, pick a number between 0 and 10 to indicate how satisfied you are.
0 totally dissatisfied
1
2
3
4
5
6
7
8
9
10 totally satisfied


Appendix 2: Statistics used
SymbolExplanation
BetaSTANDARDIZED REGRESSION COEFFICIENT by LEAST SQUARES (OLS)
Type: test statistic.

Measurement level: Correlates: all metric, Happiness: metric.
Range: [-1 ; +1]

Meaning:
beta > 0 a higher correlate level corresponds to a higher happiness rating on average.
beta < 0 a higher correlate level corresponds to a higher happiness rating on average.
beta = 0 no correlation.
beta = + 1 or -1 perfect correlation.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl