Subject code: R14ab

Study | Shields et al. (2009): study AU 2001 |

Title | Life Satisfaction and the Economic and Social Characteristics of Neighbourhoods. |

Source | Journal of Population Economics, 2009, Vol. 22, 421 - 443 |

DOI | DOI: 10.1007/s00148-007-0146-7 |

Public | 15+ aged general public, Australia, 2001 |

Sample | Probability multi-stage random |

Non-Response | 34% |

Respondents N = | 13903 |

Correlate | |

Author's label | Retired |

Page in Source | 433, 440 |

Our classification | Current status: retired or not, code R14ab |

Operationalization | Which of these categories best describes your main activity since you last worked or looked for work? 1: Retired / Voluntarily Inactive 0: Full-time employed |

Observed distribution | 1: 11%, 0: 34% |

Observed Relation with Happiness | ||

Happiness Measure | Statistics | Elaboration/Remarks |

O-SLW-u-sq-n-11-d | OPRC=+.16 p < .05 | MALES |

O-SLW-u-sq-n-11-d | OPRC=+.22 p < .01 | FEMALES OPRC's controlled for: - neighbourhood fixed effects (unobserved characteristics of the neighbourhood) - age and age squared - number of children - marital status - number of parents - being an Aboriginal/Torres Strait Islander - immigrant status - English speaking ability - health - level of education - household income - house ownership - religion - frequency-preference of paying bills - suspicious of interview questions - others present during interview - respondent was living with both parents at age 14 |

Appendix 1: Happiness measures used

Code | Full Text |

O-SLW-u-sq-n-11-d | Selfreport on single question: All things considered, how satisfied are you with your life? Again, pick a number between 0 and 10 to indicate how satisfied you are. 0 totally dissatisfied 1 2 3 4 5 6 7 8 9 10 totally satisfied |

Appendix 2: Statistics used

Symbol | Explanation |

OPRC | ORDERED PROBIT REGRESSION COEFFICIENT Statistic: Ordered probit regression coefficient Measurement level: Correlate: metric, Happiness: ordered responses Theoretical range: unlimited OPRC > 0 A one unit increase in the independent variable corresponds to a higher probability of responding in the highest category of the dependent variable and to a lower probability of responding in the lowest category of the dependent variable. OLRC< 0 A one unit increase in the independent variable corresponds to a lower probability of responding in the highest category of the dependent variable and to a higher probability of responding in the lowest category of the dependent variable. OLRC = 0 No relationship between the independent and dependent variable.. Remarks: The interpretation for the intermediate categories of the dependent variable are ambiguous. It is advised to use marginal effects.. |

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

https://worlddatabaseofhappiness.eur.nl