Projects per year
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%.
| Original language | English |
|---|---|
| Place of Publication | London |
| Publisher | London School of Economics and Political Science |
| Number of pages | 64 |
| Publication status | Published - Feb 2024 |
Publication series
| Name | CEP Discussion Paper |
|---|---|
| Publisher | London School of Economic and Political Science |
| No. | 1981 |
| ISSN (Print) | 2042-2695 |
Bibliographical note
Research Unit(s) information for this publication is provided by the author(s) concerned.Funding
This project has received funding from the Research Grant Council of Hong Kong (project No. CityU 11501121).
Research Keywords
- SIRD model
- spatial economy
- endogenous mobility
- basic reproduction number
- Normalized Hat Algebra
- containment policies
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