Does the COVID-19 pandemic disproportionately affect the poor? Evidence from a six-country survey

Hai-Anh Dang (), Toan L.D. Huynh and Manh Hung Nguyen ()
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Toan L.D. Huynh: WHU-Otto Beisheim School of Management - WHU-Otto Beisheim School of Management
Manh Hung Nguyen: TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement

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Abstract: Purpose:The COVID-19 pandemic has wrought havoc on economies around the world. The purpose of this study is to learn about the distributional impacts of the pandemic. Design/methodology/approach:The authors contribute new theoretical and empirical evidence on the distributional impacts of the pandemic on different income groups in a multicountry setting. The authors analyze rich individual-level survey data covering 6,082 respondents from China, Italy, Japan, South Korea, the United Kingdom and the United States. The results are robust to various econometric models, including Ordinanry Least Squares (OLS), Tobit and ordered probit models with country-fixed effects.

Keywords: Behavior changes; COVID-19; Poverty; Income quintiles (search for similar items in EconPapers)
Date: 2023-12
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Published in Journal of Economics and Development, 2023

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Related works:
Journal Article: Does the COVID-19 pandemic disproportionately affect the poor? Evidence from a six-country survey (2023)
Working Paper: Does the COVID-19 Pandemic Disproportionately Affect the Poor? Evidence from a Six-Country Survey (2022)
Working Paper: Does the COVID-19 Pandemic Disproportionately Affect the Poor? Evidence from a Six-Country Survey (2022)
Working Paper: Does the COVID-19 Pandemic Disproportionately Affect the Poor? Evidence from a Six-Country Survey (2022)
Working Paper: Does the COVID-19 Pandemic Disproportionately Affect the Poor? Evidence from a Six-Country Survey (2020)
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