Optimal Mitigation Policies in a Pandemic: Social Distancing and Working from Home
Abstract We study an economy’s response to an unexpected epidemic. The spread of the disease can be mitigated by reducing consumption and hours worked in the office. Working from home is subject to learning-by-doing. Private agents’ rational incentives are relatively weak and fatalistic. The planner...
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Veröffentlicht in: | The Review of financial studies 2021-11, Vol.34 (11), p.5188-5223 |
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creator | Jones, Callum Philippon, Thomas Venkateswaran, Venky |
description | Abstract
We study an economy’s response to an unexpected epidemic. The spread of the disease can be mitigated by reducing consumption and hours worked in the office. Working from home is subject to learning-by-doing. Private agents’ rational incentives are relatively weak and fatalistic. The planner recognizes infection and congestion externalities and implements front-loaded mitigation. Under our calibration, the planner reduces cumulative fatalities by 48$\%$ compared to 24$\%$ by private agents, although with a sharper drop in consumption. Our model can replicate key industry and/or occupational-level patterns and explain how large variations in outcomes across regions can stem from small initial differences. |
doi_str_mv | 10.1093/rfs/hhab076 |
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We study an economy’s response to an unexpected epidemic. The spread of the disease can be mitigated by reducing consumption and hours worked in the office. Working from home is subject to learning-by-doing. Private agents’ rational incentives are relatively weak and fatalistic. The planner recognizes infection and congestion externalities and implements front-loaded mitigation. Under our calibration, the planner reduces cumulative fatalities by 48$\%$ compared to 24$\%$ by private agents, although with a sharper drop in consumption. Our model can replicate key industry and/or occupational-level patterns and explain how large variations in outcomes across regions can stem from small initial differences.</description><identifier>ISSN: 0893-9454</identifier><identifier>EISSN: 1465-7368</identifier><identifier>DOI: 10.1093/rfs/hhab076</identifier><language>eng</language><publisher>Oxford University Press</publisher><subject>Arbeitsangebot ; Coronavirus ; Epidemie ; Infektionsschutz ; Lockdown ; Privater Konsum ; Wirtschaftspolitik</subject><ispartof>The Review of financial studies, 2021-11, Vol.34 (11), p.5188-5223</ispartof><rights>Published by Oxford University Press 2021. This work is written by US Government employees and is in the public domain in the US. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c485t-d743e53e71b316f6b5244f5c71e64ecb176f823f62adff37fc0f3925764d72733</citedby><cites>FETCH-LOGICAL-c485t-d743e53e71b316f6b5244f5c71e64ecb176f823f62adff37fc0f3925764d72733</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,1584,27924,27925</link.rule.ids></links><search><contributor>Koijen, Ralph</contributor><creatorcontrib>Jones, Callum</creatorcontrib><creatorcontrib>Philippon, Thomas</creatorcontrib><creatorcontrib>Venkateswaran, Venky</creatorcontrib><title>Optimal Mitigation Policies in a Pandemic: Social Distancing and Working from Home</title><title>The Review of financial studies</title><description>Abstract
We study an economy’s response to an unexpected epidemic. The spread of the disease can be mitigated by reducing consumption and hours worked in the office. Working from home is subject to learning-by-doing. Private agents’ rational incentives are relatively weak and fatalistic. The planner recognizes infection and congestion externalities and implements front-loaded mitigation. Under our calibration, the planner reduces cumulative fatalities by 48$\%$ compared to 24$\%$ by private agents, although with a sharper drop in consumption. Our model can replicate key industry and/or occupational-level patterns and explain how large variations in outcomes across regions can stem from small initial differences.</description><subject>Arbeitsangebot</subject><subject>Coronavirus</subject><subject>Epidemie</subject><subject>Infektionsschutz</subject><subject>Lockdown</subject><subject>Privater Konsum</subject><subject>Wirtschaftspolitik</subject><issn>0893-9454</issn><issn>1465-7368</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp90M9LwzAUB_AgCtbpyX8gJy9Sl_TlR-tN5nTCZMMfeCxpmmzRtilJPfjf27GBN0_vwfvwhfdF6JKSG0oKmAYbp9utqogURyihTPBUgsiPUULyAtKCcXaKzmL8JIRQYCRBL6t-cK1q8LMb3EYNznd47RunnYnYdVjhtepq0zp9i1-9dqO8d3FQnXbdBo8n_OHD1263wbd44Vtzjk6saqK5OMwJen-Yv80W6XL1-DS7W6aa5XxIa8nAcDCSVkCFFRXPGLNcS2oEM7qiUtg8AysyVVsL0mpioci4FKyWmQSYoOt9rg4-xmBs2YfxlfBTUlLu6ijHOspDHaPGe22071z8s1IKmnPg-Uiu9sR_9_9m_QIOhmth</recordid><startdate>20211101</startdate><enddate>20211101</enddate><creator>Jones, Callum</creator><creator>Philippon, Thomas</creator><creator>Venkateswaran, Venky</creator><general>Oxford University Press</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20211101</creationdate><title>Optimal Mitigation Policies in a Pandemic: Social Distancing and Working from Home</title><author>Jones, Callum ; Philippon, Thomas ; Venkateswaran, Venky</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c485t-d743e53e71b316f6b5244f5c71e64ecb176f823f62adff37fc0f3925764d72733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Arbeitsangebot</topic><topic>Coronavirus</topic><topic>Epidemie</topic><topic>Infektionsschutz</topic><topic>Lockdown</topic><topic>Privater Konsum</topic><topic>Wirtschaftspolitik</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jones, Callum</creatorcontrib><creatorcontrib>Philippon, Thomas</creatorcontrib><creatorcontrib>Venkateswaran, Venky</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><jtitle>The Review of financial studies</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jones, Callum</au><au>Philippon, Thomas</au><au>Venkateswaran, Venky</au><au>Koijen, Ralph</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimal Mitigation Policies in a Pandemic: Social Distancing and Working from Home</atitle><jtitle>The Review of financial studies</jtitle><date>2021-11-01</date><risdate>2021</risdate><volume>34</volume><issue>11</issue><spage>5188</spage><epage>5223</epage><pages>5188-5223</pages><issn>0893-9454</issn><eissn>1465-7368</eissn><abstract>Abstract
We study an economy’s response to an unexpected epidemic. The spread of the disease can be mitigated by reducing consumption and hours worked in the office. Working from home is subject to learning-by-doing. Private agents’ rational incentives are relatively weak and fatalistic. The planner recognizes infection and congestion externalities and implements front-loaded mitigation. Under our calibration, the planner reduces cumulative fatalities by 48$\%$ compared to 24$\%$ by private agents, although with a sharper drop in consumption. Our model can replicate key industry and/or occupational-level patterns and explain how large variations in outcomes across regions can stem from small initial differences.</abstract><pub>Oxford University Press</pub><doi>10.1093/rfs/hhab076</doi><tpages>36</tpages><oa>free_for_read</oa></addata></record> |
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source | Business Source Complete; Oxford University Press Journals All Titles (1996-Current) |
subjects | Arbeitsangebot Coronavirus Epidemie Infektionsschutz Lockdown Privater Konsum Wirtschaftspolitik |
title | Optimal Mitigation Policies in a Pandemic: Social Distancing and Working from Home |
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