Lockdown and Covid-19:Brazilian evidence

We estimate the impact of strict social distancing policies on isolation, COVID-19 cases and deaths, and employment in Brazil. Compiling social distancing decrees and combining them with publicly available data, we identify a set of treated municipalities that adopted lockdown between May and June 2021 in the State of São Paulo and build a control group with cities from the same Regional Health Departments. We estimate the lockdown effects using a Difference- -in-Differences model with two-way fixed effects and staggered adoption. Our findings suggest that the policy increased social distancing one week after its adoption, decreased cases from two weeks on, reduced deaths from four weeks on, and did not significantly impact employment.Nós estimamos o impacto de políticas restritivas de distanciamento social sobre isolamento, casos e mortes de COVID-19 e emprego no Brasil. Compilando decretos de distanciamento social e combinando-os com dados públicos, nós identificamos um conjunto de municípios tratados que adotaram lockdown entre maio e junho de 2021 no Estado de São Paulo e construímos um grupo de controle com cidades dos mesmos Departamentos Regionais de Saúde. Nós estimamos os efeitos do lockdown usando um modelo de Diferença-em Diferenças com efeitos fixos de dois níveis e adoção escalonada. Nossas conclusões sugerem que a política aumentou o isolamento social uma semana após sua adoção, diminuiu os casos a partir de duas semanas, reduziu as mortes a partir de quatro semanas e não teve impactos significativos no emprego

Lockdown and Covid-19:Brazilian evidence

We estimate the impact of strict social distancing policies on isolation, COVID-19 cases and deaths, and employment in Brazil. Compiling social distancing decrees and combining them with publicly available data, we identify a set of treated municipalities that adopted lockdown between May and June 2021 in the State of São Paulo and build a control group with cities from the same Regional Health Departments. We estimate the lockdown effects using a Difference- -in-Differences model with two-way fixed effects and staggered adoption. Our findings suggest that the policy increased social distancing one week after its adoption, decreased cases from two weeks on, reduced deaths from four weeks on, and did not significantly impact employment