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Abstract
We analyze infectious diseases in a general equilibrium model with endogenous mobility, where forward-looking agents weigh disease risks against economic opportunities in cross-regional mobility decisions. This generates “self-containment” and “self-healing” mobility responses to regional differences in healthcare and prevalence. Applied to US COVID-19 data, our model reveals that cross-state mobility restrictions curbed infections by reducing cross-regional contacts but increased deaths and output loss by hindering mobility toward regions with better recovery outcomes. Relative to a model with exogenous mobility, our framework predicts fewer infections, lower mortality, and higher economic output following the unanticipated pandemic shock. © 2026 Published by Elsevier B.V.
| Original language | English |
|---|---|
| Journal | Journal of International Economics |
| Online published | 20 Jun 2026 |
| DOIs | |
| Publication status | Online published - 20 Jun 2026 |
Funding
This work was supported by the National Natural Science Foundation of China (72173021, 72342031, 72503271) and the Research Grant Council of Hong Kong (project No. CityU 11501121).
Research Keywords
- Containment policies
- Economic geography
- Mobility
- Hat algebra
- SIRD model
RGC Funding Information
- RGC-funded
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Dive into the research topics of 'Endogenous mobility in pandemics: Theory and evidence from the United States'. Together they form a unique fingerprint.Projects
- 1 Finished
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GRF: Trade, Migration, and Pandemics: the Effect of COVID-19 Containment Policies
HUANG, H. (Principal Investigator / Project Coordinator)
1/01/22 → 8/12/25
Project: Research
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