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Policy evaluation during a pandemic.

Brantly Callaway1, Tong Li2

  • 1Department of Economics. University of Georgia, USA.

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|June 26, 2023
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Summary
This summary is machine-generated.

This study evaluates COVID-19 (Coronavirus Disease 2019) policy effectiveness. Unconfoundedness approaches are better than difference-in-differences for analyzing pandemic policies and economic outcomes.

Keywords:
Covid-19Difference-in-differencesMediatorsPandemicPolicy evaluationUnconfoundedness

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Area of Science:

  • Epidemiology
  • Econometrics
  • Public Policy

Background:

  • Governments worldwide enacted numerous COVID-19 policies.
  • Evaluating policy impact on cases and economy is crucial for effective governance.
  • Assessing policy effectiveness requires robust identification strategies.

Purpose of the Study:

  • To compare the suitability of different identification strategies for evaluating COVID-19 policies.
  • To determine if common econometric methods align with epidemiological models.
  • To propose improved methods for policy impact analysis.

Main Methods:

  • The study analyzes identification strategies used in policy evaluation.
  • It assesses the compatibility of these strategies with established epidemic models.
  • The research proposes alternative econometric approaches.

Main Results:

  • Unconfoundedness methods, controlling for pre-policy pandemic status, are more suitable than difference-in-differences for nonlinear pandemic spread.
  • Difference-in-differences issues persist even when analyzing economic outcomes dependent on COVID-19 cases.
  • Novel approaches are proposed to overcome these limitations.

Conclusions:

  • Standard difference-in-differences methods may be inadequate for evaluating COVID-19 policies.
  • Alternative econometric strategies are necessary for accurate policy impact assessment.
  • The study provides a framework for analyzing the economic effects of public health interventions.