Correlational finding on Happiness and subject: Personal 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 classificationPersonal 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