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Correlational findings

Study Stutzer (2004): study CH 1992

Public:
18+ aged, general public, Switzerland, 1992-94
Sample:
Respondents:
N = 4462
Non Response:
n.a.
Assessment:
Interview: face-to-face

Correlate

Authors's Label
Household income
Our Classification
Error Estimates
Response rate of 89 %
Remarks
Household income is approximated by taking the mean of the selected class. Natural logarithm is used in the regression analysis.
Distribution
M=5652,59 SD=3334,63.
Operationalization
Self report on a question about household income in SFr. per month on a scale of 13 categories

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks O-SLW-c-sq-n-10-I b = +.27 p < .00 ALL

B controlled for:
- household size
- household composition
- socio-demographic characteristics
- language differences O-SLW-c-sq-n-10-I b = +.43 p < .00 B additionaly controled for:
- self reported aspiration level O-SLW-c-sq-n-10-I b = +.27 p < .00 HAPPY ONLY (>4) O-SLW-c-sq-n-10-I b = +.40 p < .00 B additionaly controled for:
- self reported minimum required income. O-SLW-c-sq-n-10-I b = +.04 ns B additionaly controled for:
- the discrepancy between self reported aspiration level and household income O-SLW-c-sq-n-10-I b = +.95 p < .01 B additionaly controlled for:
- relative income (average income and proportion of rich people) O-SLW-c-sq-n-10-I b = +.75 p < .05 B additionaly controlled for:
- relative income (average income, proportion of rich people and interaction terms with 'contact with neighbours)

B means that if household income increase by 100 % happiness increases by .27 points (3 %) on the happiness scale 1-10