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Unequal welfare costs of staying at home across socioeconomic and demographic groups

Hakan Yilmazkuday ()

International Journal of Urban Sciences, 2021, vol. 25, issue 3, 347-365

Abstract: Using daily census block group level data from the U.S., this paper investigates the welfare costs of staying at home due to COVID-19 across socioeconomic and demographic groups. The investigation is based on an economic model of which implications suggest that the welfare costs of staying at home increase with the stay-at-home probabilities of individuals. The empirical results provide evidence for significant heterogeneity across census block groups regarding the welfare effects of staying at home. This heterogeneity is further used to obtain measures of welfare changes for different socioeconomic and demographic groups at the national level.

Date: 2021
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DOI: 10.1080/12265934.2021.1951822

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International Journal of Urban Sciences is currently edited by Dongjoo Park and Mack Joong Choi

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