Correlational finding on Happiness and subject: Source of current income

StudyAverina, M. et al. (2005): study RU Archangelsk 1999
TitleSocial and lifestyle determinants of depression, aniety, sleeping disorders and self-evaluated quality of life in Russia
SourceSoc Psychiatry Psychiatr Epidemol (2005) 40: 511-518
DOIdoi: 10.1007/s00127-005-0918-x
Public15+ aged general public, Arkhangelsk, Russia, 2000
SampleProbability area sample
Non-Response
Respondents N =3705

Correlate
Author's labelIncome
Page in Source 514
Our classificationSource of current income
Operationalization
The income level was defined according to the official 
data on the average salary level in different 
professions: professions with 
3 high income (reference) 
2 average income
1 low income
Observed distributionHigh salary (Men 54.4%, Women 2.1), Average salary (Men 7.4%, Women 11.2%), Low salary (Men 7.3%, Women 44.7%), Retirement person (Men 15.4%, Women 23.5%), Other (Men 15.5%, Women 18.5%).

Observed Relation with Happiness
Happiness
Measure
StatisticsElaboration/Remarks
C-BW-c-sq-l-11-cOR=1.6 p < .01
Unhappiness by Average salary (vs high) 
CI (1.2-2.3)
C-BW-c-sq-l-11-cOR=1.1
Unhappiness by Low salary (vs high) 
CI (0.8-1.5)
C-BW-c-sq-l-11-cOR=2.0 p < .001
Unhappiness by Retirement pension (vs high salary)
CI (1.4-2.8)
C-BW-c-sq-l-11-cOR=1.2 ns
UNhappiness by Other income (vs high salary)
CI (0.9-1.7)

Control variables not reported


Appendix 1: Happiness measures used
CodeFull Text
C-BW-c-sq-l-11-cSelfreport on single question:

Here is ladder representing the 'ladder of life'. Let's suppose the top of the ladder represents the best possible life for you; and the bottom, the worst possible life for you. On which step of the ladder do you feel you personally stand at the present time?
10 best possible
9
8
7
6
5
4
3
2
1
0 worst possible life

This question was followed (not preceded) by items on life 5 years ago and 5 years from now.


Appendix 2: Statistics used
SymbolExplanation
OROR: Odds ratio in binary logistic regression.

Happiness is a binary or dichotomous variable with Happy =1 and Unhappy=0.

OR < 1 indicates that the odds of being happy-to-being unhappy
decreases by a factor OR when

1) the corresponding metric correlate increases by one unit
2) the corresponding category of a categorical correlate is compared to the reference category.

OR > 1 indicates an increase by a factor OR for both the above cases.
Source:
Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.
https://worlddatabaseofhappiness.eur.nl