Optimal Lockdown in a Commuting Network

Pablo Fajgelbaum (), Amit Khandelwal, Wookun Kim (), Cristiano Mantovani () and Edouard Schaal
Additional contact information
Pablo Fajgelbaum: Princeton University and NBER
Cristiano Mantovani: Universitat Pompeu Fabra

No 2010, Departmental Working Papers from Southern Methodist University, Department of Economics

Abstract: We study optimal dynamic lockdowns against Covid-19 within a commuting network. Our framework integrates canonical spatial epidemiology and trade models, and is applied to cities with varying initial viral spread: Seoul, Daegu and NYC-Metro. Spatial lockdowns achieve substantially smaller income losses than uniform lockdowns, and are not easily approximated by simple centrality-based rules. In NYM and Daegu—with large initial shocks—the optimal lockdown restricts inflows to central districts before gradual relaxation, while in Seoul it imposes low temporal but large spatial variation. Actual commuting responses were too weak in central locations in Daegu and NYM, and too strong across Seoul.

JEL-codes: C6 R38 R4 (search for similar items in EconPapers)
Date: 2020-06
New Economics Papers: this item is included in nep-geo, nep-net and nep-ure
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Citations: View citations in EconPapers (43)

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Related works:
Journal Article: Optimal Lockdown in a Commuting Network (2021)
Working Paper: Optimal Lockdown in a Commuting Network (2020)
Working Paper: Optimal Lockdown in a Commuting Network (2020)
Working Paper: Optimal Lockdown in a Commuting Network (2020)
Working Paper: Optimal Lockdown in a Commuting Network (2020)
Working Paper: Optimal Lockdown in a Commuting Network (2020)
Working Paper: Optimal lockdown in a commuting network (2020)
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