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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 air pollution
Our Classification
Distribution
%= 1: 33,44 2: 40,61 3: 14,22 4: 5,18 5: 1,55
Operationalization
Respondent's answer on the question "How strongly are you affected by air 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 air quality increases by one step.

0 (lowest) to 2  :- 0,62 %
4 to 6           :- 1,09 %
8 to 10 (highest):+ 1,50 %

An increase in perceived air quality 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 (-.06) controled for:
- (perceived) noise 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 air pollution goes with less happiness