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COVID‐19 Policy Modeling in Sub‐Saharan Africa

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  • Valerie Mueller
  • Glenn Sheriff
  • Corinna Keeler
  • Megan Jehn

Abstract

After an initial delay, Sub‐Saharan Africa (SSA) is being hit by the pandemic. Demand for exports is falling and caseloads are rising. Governments have approached this crisis with a range of policy options. Optimal policy balances reduced infection rates with lost economic output. This paper discusses how an economic‐epidemiological model used to analyze policy in high‐income countries could be adapted to a context where poverty considerations are paramount. Differences in country characteristics across the continent affect benefits and costs of alternative policy designs. We conclude by highlighting data needs and model calibration challenges for COVID‐19 policy research in SSA.

Suggested Citation

  • Valerie Mueller & Glenn Sheriff & Corinna Keeler & Megan Jehn, 2021. "COVID‐19 Policy Modeling in Sub‐Saharan Africa," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 43(1), pages 24-38, March.
    • Handle: RePEc:wly:apecpp:v:43:y:2021:i:1:p:24-38
    DOI: 10.1002/aepp.13078
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    References listed on IDEAS

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    Cited by:

    1. Guven, Murat & Cetinguc, Basak & Guloglu, Bulent & Calisir, Fethi, 2022. "The effects of daily growth in COVID-19 deaths, cases, and governments’ response policies on stock markets of emerging economies," Research in International Business and Finance, Elsevier, vol. 61(C).
    2. Cornelia Ilin & Sébastien E. Annan-Phan & Xiao Hui Tai & Shikhar Mehra & Solomon M. Hsiang & Joshua E. Blumenstock, 2020. "Public Mobility Data Enables COVID-19 Forecasting and Management at Local and Global Scales," NBER Working Papers 28120, National Bureau of Economic Research, Inc.

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