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Endogenous mobility in pandemics: theory and evidence from the United States

Xiaoguang Chen, Hanwei Huang, Jiandong Ju, Ruoyan Sun and Jialiang Zhang

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: We study infectious diseases in a spatial epidemiology model with forward-looking individuals who weigh disease environments against economic opportunities when moving across regions. This endogenous mobility allows regions to share risk and health resources, resulting in positive epidemiological externalities for regions with high R0s. We develop the Normalized Hat Algebra to analyze disease and mobility dynamics. Applying our model to US data, we find that cross-state mobility controls that hinder risk and resource sharing increase COVID-19 deaths and decrease social welfare. Conversely, by enabling "self-containment" and "self-healing," endogenous mobility reduces COVID-19 infections by 27.6% and deaths by 22.1%.

Keywords: sird model; spatial economy; endogenous mobility; basic reproduction number; normalized hat algebra; containment policies; Covid-19; coronavirus (search for similar items in EconPapers)
JEL-codes: C61 D91 I12 I18 J61 R13 (search for similar items in EconPapers)
Pages: 40 pages
Date: 2024-02-12
New Economics Papers: this item is included in nep-hea, nep-inv and nep-mac
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http://eprints.lse.ac.uk/126830/ Open access version. (application/pdf)

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Working Paper: Endogenous mobility in pandemics: Theory and evidence from the United States (2024) Downloads
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