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Correlational findings

Study Rehdanz & Maddison (2009): study XZ Germany West 1994

Public
Adults, general public, West-Germany, 1994-2004
Sample
Respondents
N = 23014
Non Response
na
Assessment
Interview: face-to-face

Correlate

Authors's Label
Perceived impact of noise pollution
Our Classification
Distribution
%= 1: 36,57 2: 39,25 3: 15,93 4: 6,10  5: 2,16
Operationalization
Respondent's answer on the question:"How strongly are you affected by noise pollution in your area?"
1 not at all
2 slightly
3 bearable
4 strongly
5 very strongly

Observed Relation with Happiness

Happiness Measure Statistics Elaboration / Remarks O-SLW-c-sq-n-11-d D% = s Change in the probability of reporting a life satisfaction interval [0-2], [4-6] or [8-10] when noise exposure decreases by one step.
0 (lowest) to 2  :- 0,34 %
4 to 6           :- 0,63 %
8 to 10 (highest):+ 0,85 %

A decrease in perceived noise pollution increases the probability of reporting high happiness [8-10] and decreases the probality of reporting low happiness, [0-2] and [4-6] O-SLW-c-sq-n-11-d OPRC = - p < .01 OPRC (-.03) controled for:
- (perceived) air pollution
- socio-economic characteristics
- demographic characteristics
- housing characteristics
- residential characteristics

OPRC cannot be interpreted as an absolute effect size. OPRC means only that more affection by noise pollution is less happiness