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Time use of married couples : Bayesian approach

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Title: Time use of married couples : Bayesian approach
Authors: Hasegawa, Hikaru Browse this author →KAKEN DB
Ueda, Kazuhiro Browse this author →KAKEN DB
Keywords: Bayesian statistics
compositional data
Markov chain Monte Carlo (MCMC)
time allocation
Issue Date: 21-Apr-2019
Publisher: Taylor & Francis
Journal Title: Journal of applied statistics
Volume: 46
Issue: 14
Start Page: 2649
End Page: 2665
Publisher DOI: 10.1080/02664763.2019.1607833
Abstract: The living hours data of individuals' time spent on daily activities are compositional and include many zeros because individuals do not pursue all activities every day. Thus, we should exercise caution in using such data for empirical analyses. The Bayesian method offers several advantages in analyzing compositional data. In this study, we analyze the time allocation of Japanese married couples using the Bayesian model. Based on the Bayes factors, we compare models that consider and do not consider the correlations between married couples' time use data. The model that considers the correlation shows superior performance. We show that the Bayesian method can adequately take into account the correlations of wives' and husbands' living hours, facilitating the calculation of partial effects that their activities' variables have on living hours. The partial effects of the model that considers the correlations between the couples' time use are easily calculated from the posterior results.
Type: article (author version)
Appears in Collections:経済学院・経済学研究院 (Graduate School of Economics and Business / Faculty of Economics and Business) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 長谷川 光

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