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How COVID-19 influences healthcare workers' happiness: Panel data analysis in Japan

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  • Eiji Yamamura
  • Yoshiro Tsutsui

Abstract

Healthcare workers are more likely to be infected with the 2019 novel coronavirus (COVID-19) because of unavoidable contact with infected people. Although they are equipped to reduce the likelihood of infection, their distress has increased. This study examines how COVID-19 influences healthcare workers' happiness, compared to other workers. We constructed panel data via Internet surveys during the COVID-19 epidemic in Japan, from March to June 2020, by surveying the same respondents at different times. The survey period started before the state of emergency, and ended after deregulation. The key findings are as follows. (1) Overall, the happiness level of healthcare workers is lower than that of other workers. (2) The biggest disparity in happiness level, between healthcare workers and others, was observed after deregulation and not during the state of emergency. After deregulation, the difference was larger by 0.26 points, on an 11-point scale, than in the initial wave before the state of emergency.

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  • Eiji Yamamura & Yoshiro Tsutsui, 2021. "How COVID-19 influences healthcare workers' happiness: Panel data analysis in Japan," Papers 2101.10408, arXiv.org.
    • Handle: RePEc:arx:papers:2101.10408
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    References listed on IDEAS

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    1. Eiji Yamamura. & Yoshiro Tsutsui, 2020. "Impact of the State of Emergency Declaration for COVID-19 on Preventive Behaviors and Mental Conditions in Japan: Difference in Difference Analysis using Panel Data," Papers 2005.13008, arXiv.org.
    2. Eiji Yamamura & Yoshiro Tsutsui & Chisako Yamane & Shoko Yamane & Nattavudh Powdthavee, 2015. "Trust and Happiness: Comparative Study Before and After the Great East Japan Earthquake," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 123(3), pages 919-935, September.
    3. Clark, Andrew E. & Oswald, Andrew J., 1996. "Satisfaction and comparison income," Journal of Public Economics, Elsevier, vol. 61(3), pages 359-381, September.
    4. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    5. Kuroda, Sachiko & Yamamoto, Isamu, 2018. "Good boss, bad boss, workers’ mental health and productivity: Evidence from Japan," Japan and the World Economy, Elsevier, vol. 48(C), pages 106-118.
    6. Fetzer, Thiemo & Witte, Marc & Hensel, Lukas & Jachimowicz, Jon M. & Haushofer, Johannes & Ivchenko, Andriy & Reutskaja, Elena & Roth, Christopher & Gomez, Margarita & Kraft-Todd, Gordon & Goetz, Frie, 2020. "Global Behaviors and Perceptions in the COVID-19 Pandemic," CEPR Discussion Papers 14631, C.E.P.R. Discussion Papers.
    7. Sabat, Iryna & Neuman-Böhme, Sebastian & Varghese, Nirosha Elsem & Barros, Pedro Pita & Brouwer, Werner & van Exel, Job & Schreyögg, Jonas & Stargardt, Tom, 2020. "United but divided: Policy responses and people’s perceptions in the EU during the COVID-19 outbreak," Health Policy, Elsevier, vol. 124(9), pages 909-918.
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