Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/249721 
Year of Publication: 
2021
Series/Report no.: 
Texto para discussão No. 673
Publisher: 
Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Departamento de Economia, Rio de Janeiro
Abstract: 
We adopt an artificial counterfactual approach to assess the impact of lockdowns on the short-run evolution of the number of cases and deaths in some US states. To do so, we explore the different timing in which US states adopted lockdown policies, and divide them among treated and control groups. For each treated state, we construct an artificial counterfactual. On average, and in the very short-run, the counterfactual accumulated number of cases would be two times larger if lockdown policies were not implemented.
Subjects: 
Covid-19 cases
lockdown effects
mobility
ArCo
synthetic control
Document Type: 
Working Paper

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