Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/240836
Authors: 
De Negri, Fernanda
Galliez, Rafael M.
Miranda, Pedro
Koeller, Priscila
Zucoloto, Graziela Ferrero
Costa, Joana
Claudio M. de Farias
Travassos, Guilherme Horta
Medronho, Roberto de Andrade
Year of Publication: 
2021
Series/Report no.: 
Texto para Discussão No. 2642
Publisher: 
Instituto de Pesquisa Econômica Aplicada (IPEA), Brasília
Abstract (Translated): 
This paper aims to analyze the effects of individual socioeconomic characteristics on the mortality risk of Covid-19. Two datasets were combined to achieve this objective: the individual health records from people infected with coronavirus in the state of Rio de Janeiro, in Brazil, and the Annual Report of Social Information database (Rais), which contain diverse socioeconomic information about formal workers in the state. These datasets make it possible to estimate logistic models to assess the effect of variables such as sex, age, income, race/ethnicity, schooling, occupation, and economic activity on the risk of death from Covid-19. The results indicate that some groups of workers have more risk of dying of Covid-19 than others: workers employed in establishments in the health and public safety sectors present, respectively, a risk of dying 2.46 and 2.25 times higher than those employed in other activities. The results also show that non-white people, men, and those who work in the Metropolitan Region are more likely to die from Covid-19. On the other hand, those who have higher education are 44% less likely to die from the disease. It is essential to consider these differences in the design of prevention policies to be adopted.
Subjects: 
Covid-19
mortality rates
health and inequality
pandemic
public health
workers
labor market data
JEL: 
I14
I18
J01
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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