Subject code: R04ab01b

Study | Gao & Meng (2015): study CN 1998 |

Title | The Impact of Government Size on Chinese Elders' Life Satisfaction: 1998-2008 |

Source | Filomena Maggino, Ed.: "Social Indicators Research Series 57, A New Research Agenda for Impovements in Quality of Life", Springer International Publishing AG Switzerland, Swiss, 2015, 135 - 161 |

DOI | DOI: 10.1007/978-3-319-15904-1_7 |

Public | 65+ aged, China, followed 10 years, 1998-2008 |

Sample | Probability multistage stratified area sample |

Non-Response | not reported |

Respondents N = | 50674 |

Correlate | |

Author's label | Real GDP per capita |

Page in Source | 138, 146. |

Our classification | GDP in region, code R04ab01b |

Operationalization | Inflation adjusted gdp per capita in 1.000 yuan. |

Observed Relation with Happiness | ||

Happiness Measure | Statistics | Elaboration/Remarks |

O-QOL-c-sq-v-4-b | OPRC=-.00 ns | Individual happiness by provincial GDP per capita. OPRC (-0,00289) controlled for: -provincial characteristics: -Government medical expenses -Government Size -Capital Formation Rate -individual characteristics: -Gender -Living arrangement -Age (groups) -Urban (residence) -Etnicity (Han = 1) -Education -White Collar (= 1) -Frequency visits by child or sibling -Chronic conditions score -ADL-score (Physical limitations) Similar results if addionally controlled for: -Household income (quartiles) -Feeling rich or fair |

Appendix 1: Happiness measures used

Code | Full Text |

O-QOL-c-sq-v-4-b | Selfreport on single question: How do you rate your life at present? 1 bad or very bad 2 fair 3 good 4 very good |

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