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  • 标题:Space Time Analysis of Subjective Well-being in the COVID-19 Outbreak in Japan
  • 本地全文:下载
  • 作者:Takaki SATO ; Anqi LI ; Yasumasa MATSUDA
  • 期刊名称:Interdisciplinary Information Sciences
  • 印刷版ISSN:1340-9050
  • 电子版ISSN:1347-6157
  • 出版年度:2022
  • 卷号:28
  • 期号:1
  • 页码:1-9
  • DOI:10.4036/iis.2022.A.03
  • 语种:English
  • 出版社:The Editorial Committee of the Interdisciplinary Information Sciences
  • 摘要:We conducted happiness surveys for around 26,000 respondents all over Japan except Okinawa on the five periods in Dec. 2019, Sep. 2020, Dec. 2020, Mar. 2021 and Jun. 2021. As the COVID-19 outbreak began in Feb. 2020, the surveys are adequate to evaluate how the pandemic affects our life. In this paper, we report the influences of COVID-19 on subjective well-being for Japanese evaluated based on the surveys before and after the outbreak. We applied a dynamic regression model that describes joint effects of individual and spatial factors to visualize space-time behaviors of Japanese subjective well-being. Namely we quantified the factors of happiness driven by individual factors, which are age, gender, income and so on, and those by spatial factors in prefectural levels after controlling the individual ones. Examining the dynamic changes on the five periods, we find that the COVID-19 outbreak in Japan has damaged the subjective well-being of young females most seriously and the crucial damages still are continuing especially for the low income group.
  • 关键词:happiness survey;unbalanced panel data;spatial AR model;spatial weight matrix;state space model;Kalman filter
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