Subject code: I06aa01b

Study | Sakawa et al. (2015): study JP Kinki 2006 |

Title | Activity, Time, and Subjective Happiness: An Analysis Based on an Hourly Web Survey. |

Source | The Institute of Social and Economic Research, Osaka University, Discussion Paper, 2015, No. 926, 1- 38 |

URL | http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2564415 |

Public | Students, Osaka, Japan, followed 14 months, 2006-2008 |

Sample | Non-probability sample (unspecified) |

Non-Response | 13% |

Respondents N = | 70 |

Correlate | |

Author's label | Month of the year |

Page in Source | 1,15,17,25 |

Our classification | Month of the year, code I06aa01b |

Operationalization | Average of 24 hourly happiness ratings at randomly determined moments during one day of each month. |

Observed Relation with Happiness | ||

Happiness Measure | Statistics | Elaboration/Remarks |

A-ARE-m-sqr-n-11-b | OLRC=+/- | OLRC p<. January +.07 ns February +.07 ns March +.38 001 April +.20 05 May +.28 01 June +.12 ns July -.17 10 August +.19 05 September +.12 ns October +.10 ns November (ref.) December +.21 01 Summarized: in march, april, may, august, and december respondents were significantly happier. In 5 months of the year happiness is higher than in november. OLRC controlled for: -other months in the equation -daily hours 1-24 Extra control for 'daily activities' did not effect OLRC significantly. |

Appendix 1: Happiness measures used

Code | Full Text |

A-ARE-m-sqr-n-11-b | selfreport on repeated question How happy do you feel now? 10 very happy 9 8 7 6 5 4 3 2 1 0 very unhappy |

Appendix 2: Statistics used

Symbol | Explanation |

OLRC | ORDERED LOGIT REGRESSION COEFFICIENT Statistic: Ordered logit regression coefficient Measurement level: Correlate: metric, Happiness: ordered responses Theoretical range: unlimited OLRC > 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