Time use of married couples : Bayesian approach

• Hasegawa, Hikaru

• Ueda, Kazuhiro

抄録

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.

収録刊行物

• Journal of applied statistics

  Journal of applied statistics 46 (14), 2649-2665, 2019-04-21

  Taylor & Francis

キーワード

• Bayesian statistics
• compositional data
• Markov chain Monte Carlo (MCMC)
• time allocation
• C11
• J12
• J22

詳細情報

• CRID: 1050005667205314944
• NII論文ID: 120006958366
• DOI: 10.1080/02664763.2019.1607833
• ISSN: 13600532
• ISSN: 02664763
• HANDLE: 2115/80446
• Web Site: https://www.tandfonline.com/doi/pdf/10.1080/02664763.2019.1607833
• 本文言語コード: en
• 資料種別: journal article
• データソース種別:
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  • CiNii Articles
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