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

Title | Local Environmental Quality and Life-Satisfaction in Germany. |

Source | Ecological Economics, Vol. 64, 787 - 797 |

DOI | DOI:10.1016/j.ecolecon.2007.04.016 |

Public | Adults, general public, West-Germany, 1994-2004 |

Sample | Probability stratified sample |

Non-Response | na |

Respondents N = | 23014 |

Correlate | |

Author's label | Perceived impact of air pollution |

Page in Source | 792, 796, 797 |

Our classification | Attitude to local natural environment |

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 distribution | %= 1: 33,44 2: 40,61 3: 14,22 4: 5,18 5: 1,55 |

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 |

Appendix 1: Happiness measures used

Code | Full Text |

O-SLW-c-sq-n-11-d | Selfreport on single question: Taking all things together, how satisfied are you with your life these days? Please answer with the help of this scale. For instance, when you are totally satisfied with your life, please tick '10'. When you are totally unsatisfied with your life, please tick '0'. You may use all values in between to indicate that you are neither totally satisfied nor totally unsatisfied." 10 totally satisfied 9 8 7 6 5 4 3 2 1 0 totally unsatisfied |

Appendix 2: Statistics used

Symbol | Explanation |

D% | DIFFERENCE in PERCENTAGES Type: descriptive statistic only. Measurement level: Correlate level: dichotomous, but nominal or ordinal theoretically possible as well. Happiness level: dichotomous Range: [-100; +100] Meaning: the difference of the percentages happy people at two correlate levels. |

OPRC | OPRC: Regression coefficient in ordered categorical probit regression. Only the sign of the computed coefficient is informative. Happiness is an ordered categorical variable. Higher categories correspond to being more happy. OPRC < 0 indicates that the probability of being beyond a chosen happiness category decreases and the probability of being at or below that category increases when 1) the corresponding metric correlate increases 2) the corresponding category of a categorical correlate is compared to the reference category. OLRC > 0 indicates that the probability of being beyond a chosen happiness category increases and the probablity of being at or below that category decreases when 1) the corresponding metric correlate increases 2) the corresponding category of a categorical correlate is compared to the reference category. |

Ruut Veenhoven, World Database of Happiness, Collection of Correlational Findings, Erasmus University Rotterdam.

https://worlddatabaseofhappiness.eur.nl