Subject code: I01ab01

Study | Kollamparambil (2019): study ZA 2008 |

Title | Happiness, Happiness Inequality and Income Dynamics in South Africa. |

Source | Journal of Happiness Studies, 2019, online |

URL | https://doi.org/10.1007/s10902-019-00075-0 |

Public | 18+ aged, adults, South Afrika, 2008-2014 |

Sample | Probability sample (unspecified) |

Non-Response | |

Respondents N = | 112000 |

Correlate | |

Author's label | Log individual income |

Page in Source | Table 2,4 |

Our classification | Personal income, code I01ab01 |

Operationalization | A Log individual income B Log individual income squared |

Observed Relation with Happiness | ||

Happiness Measure | Statistics | Elaboration/Remarks |

O-SLu-c-sq-n-10-d | b-fix=+.09 p < .01 | A |

D-LS-c-sq-n--a | b-rif=-.17 p < .01 | A |

O-SLu-c-sq-n-10-d | b-fix=+.00 ns | B |

D-LS-c-sq-n--a | b-rif=+.22 p < .001 | B b-fix's and b-rif's controlled for: - relatively rich - age and age squared - employed - female - in a relationship - above matric education - healthy - credit access - urban - flushing toilet - electricity - black - religious b-fix's not significantly affected by additonal control for: - domestic violence - experienced crime |

D-LS-c-sq-n--a | b-rif=-.21 p < .001 | A b-rif additionally controlled for: - log individual income squared |

Appendix 1: Happiness measures used

Code | Full Text |

D-LS-c-sq-n--a | Standard deviation of 0-10 score on single question "overall, how happy would you say you are currently?" |

O-SLu-c-sq-n-10-d | Selfreport on single question: What is your current level of life satisfaction between one and 10? 1 2 3 4 5 6 7 8 9 10 Scale labels not reported |

Appendix 2: Statistics used

Symbol | Explanation |

b-fix | REGRESSION COEFICIENT in fixed effects analysis Type: test statistic WDH symbol: b-fix Primary correlate level: metric Secondary correlate level: nonmetric Happiness level: metric Theoretical range: unlimited Meaning: Variant of usual (non-standardized) regression coefficient (b), which controls for the secondary variables, by focusing on differences from a fixed level, such as the mean in a category. Aims to reduce the residual variance and to improve the precision of the regression coefficient. References: Wikipedia: http://en.wikipedia.org/wiki/Fixed_effects_model Non-technical text: http://www.jblumenstock.com/files/courses/econ174/FEModels.pdf |

b-rif | Least square regression coefficient in RIF-regression, where the dependent variable is th influence on a distributionakl statistic (f.e. variance, GINI) |

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

https://worlddatabaseofhappiness.eur.nl