COVID-19 with stigma: Theory and evidence from mobility data

Yuya Katafuchi, Kenichi Kurita (kurita.kenichi.564@m.kyushu-u.ac.jp) and Shunsuke Managi

MPRA Paper from University Library of Munich, Germany

Abstract: This study conducts both theoretical and empirical analyses of how the non-legally-binding policies originating from COVID-19 affect people's going-out behavior. The theoretical analysis assumes that under a declared state of emergency, the individual going out suffers psychological costs arising from both the risk of infection and the stigma of going out. Our hypothesis is derived that under a declared state of emergency, going out entails a strong psychological cost, and people refrain from going out. Then, this study estimates the model using regional mobility data and emergency declarations data to analyze self-restraint behavior under a non-legally binding emergency declaration. The results show that, compared with the pre-declaration of the state of emergency, going-out behavior under and after lifting of the state of emergency was suppressed even when the going-out behavior did not result in penalties, which is consistent with the theoretical analysis.

Keywords: COVID-19; Stigma; Self-restraint behavior; Non-legally binding policy; Regional mobility (search for similar items in EconPapers)
JEL-codes: I12 I18 (search for similar items in EconPapers)
Date: 2020-08-02
New Economics Papers: this item is included in nep-hea
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (28)

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https://mpra.ub.uni-muenchen.de/102794/1/MPRA_paper_102794.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/102822/8/MPRA_paper_102822.pdf revised version (application/pdf)
https://mpra.ub.uni-muenchen.de/103083/8/MPRA_paper_102822.pdf revised version (application/pdf)
https://mpra.ub.uni-muenchen.de/103314/1/MPRA_paper_103314.pdf revised version (application/pdf)

Related works:
Journal Article: COVID-19 with Stigma: Theory and Evidence from Mobility Data (2021)
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