The Causal Effects of Lockdown Policies on Health and Macroeconomic Outcomes

Author:

Arias Jonas E.1,Fernández-Villaverde Jesús2,Rubio-Ramírez Juan F.3,Shin Minchul1

Affiliation:

1. Federal Reserve Bank of Philadelphia (email: )

2. University of Pennsylvania (email: )

3. Emory University and Federal Reserve Bank of Atlanta (email: )

Abstract

We assess the causal impact of pandemic-induced lockdowns on health and macroeconomic outcomes and measure the trade-off between containing the spread of a pandemic and economic activity. To do so, we estimate an epidemiological model with time-varying parameters and use its output as information for estimating SVARs and LPs that quantify the causal effects of nonpharmaceutical policy interventions. We apply our approach to Belgian data for the COVID-19 pandemic during 2020. We find that additional government-mandated mobility curtailments would have reduced deaths at a very small cost in terms of GDP. (JEL E23, H51, I12, I15, I18)

Publisher

American Economic Association

Subject

General Economics, Econometrics and Finance

Reference54 articles.

1. Acemoglu, Daron, Victor Chernozhukov, Iván Werning, and Michael D. Whinston. 2020. "A Multi-Risk SIR Model with Optimally Targeted Lockdown." Unpublished.

2. Aguirregabiria, Victor, Jiaying Gu, Yao Luo, and Pedro Mira. 2020. "A Dynamic Structural Model of Virus Diffusion and Network Production: A First Report." CEPR Discussion Paper 14750.

3. Algaba, Andres, Samuel Borms, Kris Boudt, and Brecht Verbeken. 2021. "Daily News Sentiment and Monthly Surveys: A Mixed-Frequency Dynamic Factor Model for Nowcasting Consumer Con dence." Unpublished.

4. Andersen, Martin. 2020. "Early Evidence on Social Distancing in Response to COVID-19 in the United States." Unpublished.

5. False-negative results of initial RT-PCR assays for COVID-19: A systematic review

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