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Abstract
We simulate a spatial behavioral model of the
diffusion of an infection to understand the role of
geographical characteristics: city size, density,
distribution of initial outbreaks, movement of agents.
We show that several invariance properties of the SIR model with respect to these variables do not hold
when agents are placed in a two dimensional space. Local herd immunity plays a fundamental role in changing the dynamics of the
infection. We also show that geographical factors affect how
behavioral responses affect the epidemics. We derive relevant implications for the estimation of epidemiological models with panel data from several geographical units.
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External appendix
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Replication package
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Twitter thread
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CitationBibTeX
Bisin, Alberto, and Andrea Moro. "JUE Insight: Learning Epidemiology by Doing: The Empirical Implications of a Spatial SIR Model with Behavioral Responses,"
Journal of Urban Economics 127,
January
2022
@article{bisin-moro-spatialsir-2022,
title = "JUE Insight: Learning Epidemiology by Doing: The Empirical Implications of a Spatial SIR Model with Behavioral Responses",
author = "Bisin, Alberto and Andrea Moro",
year = "2022",
month = " January ",
journal = "Journal of Urban Economics",
volume = "127",
url = "http://andreamoro.net/assets/papers/spatialSIR.pdf"
}