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Testing and Reopening in an SEIR Model

Author

Listed:
  • David Berger

    (Northwestern University)

  • Kyle Herkenhoff

    (Federal Reserve Bank of New York)

  • Chengdai Huang

    (University of Chicago)

  • Simon Mongey

    (University of Chicago)

Abstract

We quantify how testing and targeted quarantine make it possible to reopen an economy in such a way that output increases while deaths are reduced. We augment a standard Susceptible-Exposed-Infectious-Recovered (SEIR) model with (i) virological testing, (ii) serological testing, (iii) permanently asymptomatic individuals, (iv) incomplete information, and (v) a reduced form behavioral response of reopening to changes in health risks. Virological testing allows for targeted quarantine of asymptotic spreaders. Serological testing allows for targeted release of recovered individuals. We fit our model to U.S. data. Virological tests every two weeks accommodate more aggressive reopening that more than halves output losses while keeping deaths below forecasts under the status quo. Serological tests are much less effective. Implementing testing against a fixed budget, low sensitivity tests that are cheap and used frequently, dominate perfect tests that are expensive and used less frequently. (Copyright: Elsevier)

Suggested Citation

  • David Berger & Kyle Herkenhoff & Chengdai Huang & Simon Mongey, 2022. "Testing and Reopening in an SEIR Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 43, pages 1-21, January.
    • Handle: RePEc:red:issued:20-184
    DOI: 10.1016/j.red.2020.11.003
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    More about this item

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General

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