Socioeconomic Network Heterogeneity and Pandemic Policy Response
We develop a heterogeneous-agents network-based model to analyze alternative policies during a pandemic outbreak, accounting for health and economic trade-offs within the same empirical framework. We leverage a variety of data sources, including data on individuals' mobility and encounters acro...
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creator | Vasserman, Shoshana Tebaldi, Pietro Akbarpour, Mohammad Cook, Cody Saccarola, Matteo Marzuoli, Aude Nagaraj, Abhishek Yang, Hanbin Mongey, Simon |
description | We develop a heterogeneous-agents network-based model to analyze alternative policies during a pandemic outbreak, accounting for health and economic trade-offs within the same empirical framework. We leverage a variety of data sources, including data on individuals' mobility and encounters across metropolitan areas, health records, and measures of the possibility to be productively working from home. This combination of data sources allows us to build a framework in which the severity of a disease outbreak varies across locations and industries, and across individuals who differ by age, occupation, and preexisting health conditions.
We use this framework to analyze the impact of different social distancing policies in the context of the COVID-19 outbreaks across US metropolitan areas. Our results highlight how outcomes vary across areas in relation to the underlying heterogeneity in population density, social network structures, population health, and employment characteristics. We find that policies by which individuals who can work from home continue to do so, or in which schools and firms alternate schedules across different groups of students and employees, can be effective in limiting the health and healthcare costs of the pandemic outbreak while also reducing employment losses. |
doi_str_mv | 10.3386/w27374 |
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We use this framework to analyze the impact of different social distancing policies in the context of the COVID-19 outbreaks across US metropolitan areas. Our results highlight how outcomes vary across areas in relation to the underlying heterogeneity in population density, social network structures, population health, and employment characteristics. We find that policies by which individuals who can work from home continue to do so, or in which schools and firms alternate schedules across different groups of students and employees, can be effective in limiting the health and healthcare costs of the pandemic outbreak while also reducing employment losses.</description><identifier>ISSN: 0898-2937</identifier><identifier>DOI: 10.3386/w27374</identifier><language>eng</language><publisher>Cambridge, Mass: National Bureau of Economic Research</publisher><subject>COVID-19 ; Economic theory ; Economics of Health ; Epidemics ; Pandemics ; Public Economics ; Technical Working Papers</subject><ispartof>NBER Working Paper Series, 2020-06</ispartof><rights>Copyright National Bureau of Economic Research, Inc. Jun 2020</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,784,27925</link.rule.ids></links><search><creatorcontrib>Vasserman, Shoshana</creatorcontrib><creatorcontrib>Tebaldi, Pietro</creatorcontrib><creatorcontrib>Akbarpour, Mohammad</creatorcontrib><creatorcontrib>Cook, Cody</creatorcontrib><creatorcontrib>Saccarola, Matteo</creatorcontrib><creatorcontrib>Marzuoli, Aude</creatorcontrib><creatorcontrib>Nagaraj, Abhishek</creatorcontrib><creatorcontrib>Yang, Hanbin</creatorcontrib><creatorcontrib>Mongey, Simon</creatorcontrib><title>Socioeconomic Network Heterogeneity and Pandemic Policy Response</title><title>NBER Working Paper Series</title><description>We develop a heterogeneous-agents network-based model to analyze alternative policies during a pandemic outbreak, accounting for health and economic trade-offs within the same empirical framework. We leverage a variety of data sources, including data on individuals' mobility and encounters across metropolitan areas, health records, and measures of the possibility to be productively working from home. This combination of data sources allows us to build a framework in which the severity of a disease outbreak varies across locations and industries, and across individuals who differ by age, occupation, and preexisting health conditions.
We use this framework to analyze the impact of different social distancing policies in the context of the COVID-19 outbreaks across US metropolitan areas. Our results highlight how outcomes vary across areas in relation to the underlying heterogeneity in population density, social network structures, population health, and employment characteristics. We find that policies by which individuals who can work from home continue to do so, or in which schools and firms alternate schedules across different groups of students and employees, can be effective in limiting the health and healthcare costs of the pandemic outbreak while also reducing employment losses.</description><subject>COVID-19</subject><subject>Economic theory</subject><subject>Economics of Health</subject><subject>Epidemics</subject><subject>Pandemics</subject><subject>Public Economics</subject><subject>Technical Working Papers</subject><issn>0898-2937</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>NBR</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNo90E9LwzAUAPAcFJxTP4Cngudqkpem6U0Z6oShQ3fwVtLkVTq3piYdo9_elIqX9-Dx4_0j5IrRWwAl7448h1yckBlVhUp5AfkZOQ9hSylXirIZuf9wpnFoXOv2jUlesT86_50ssUfvvrDFph8S3dpkHQOOZO12jRmSdwydawNekNNa7wJe_uU52Tw9bhbLdPX2_LJ4WKXIQImUaSsqJWitjaqsAAnSZMwqjlpjpWvUVGdQcQQKONZlxoWN28vC1szCnNxMbTvvfg4Y-nLrDr6NE0suRSEyyKSIKpnUeFATys43e-2HkuVxByqE-ozkeiJthf4fTH-CX7Q6W0s</recordid><startdate>20200601</startdate><enddate>20200601</enddate><creator>Vasserman, Shoshana</creator><creator>Tebaldi, Pietro</creator><creator>Akbarpour, Mohammad</creator><creator>Cook, Cody</creator><creator>Saccarola, Matteo</creator><creator>Marzuoli, Aude</creator><creator>Nagaraj, Abhishek</creator><creator>Yang, Hanbin</creator><creator>Mongey, Simon</creator><general>National Bureau of Economic Research</general><general>National Bureau of Economic Research, Inc</general><scope>CZO</scope><scope>MPB</scope><scope>NBR</scope><scope>XD6</scope><scope>OQ6</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M0C</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20200601</creationdate><title>Socioeconomic Network Heterogeneity and Pandemic Policy Response</title><author>Vasserman, Shoshana ; 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We leverage a variety of data sources, including data on individuals' mobility and encounters across metropolitan areas, health records, and measures of the possibility to be productively working from home. This combination of data sources allows us to build a framework in which the severity of a disease outbreak varies across locations and industries, and across individuals who differ by age, occupation, and preexisting health conditions.
We use this framework to analyze the impact of different social distancing policies in the context of the COVID-19 outbreaks across US metropolitan areas. Our results highlight how outcomes vary across areas in relation to the underlying heterogeneity in population density, social network structures, population health, and employment characteristics. We find that policies by which individuals who can work from home continue to do so, or in which schools and firms alternate schedules across different groups of students and employees, can be effective in limiting the health and healthcare costs of the pandemic outbreak while also reducing employment losses.</abstract><cop>Cambridge, Mass</cop><pub>National Bureau of Economic Research</pub><doi>10.3386/w27374</doi></addata></record> |
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subjects | COVID-19 Economic theory Economics of Health Epidemics Pandemics Public Economics Technical Working Papers |
title | Socioeconomic Network Heterogeneity and Pandemic Policy Response |
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