Pablo Fajgelbaum, Amit Khandelwal, Wookun Kim, Cristiano Mantovani, Edouard Schaal, 17 July 2020

In implementing lockdowns to combat the spread of Covid-19, policymakers have primarily imposed the same policies uniformly across locations within a city. This column studies optimal dynamic lockdowns within a commuting network, using a framework that integrates canonical spatial epidemiology and trade models and is applied to commuting data from three cities – Daegu, Seoul and New York. It finds that optimal spatial lockdowns generate substantially smaller income losses than uniform lockdowns for a given virus spread.

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