Quem trabWho worked from home in Brazil? Inequalities highlighted by the pandemicalhou remotamente no Brasil? Desigualdades evidenciadas pela pandemia
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Nova Economia (Online) |
Texto Completo: | https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/6687 |
Resumo: | There is some consensus that the pandemic can widen pre-existing inequalities in the labor market and that an essential issue concerns the unequal possibilities of working remotely. This study analyzes inequalities in remote work in Brazil through descriptive analyzes and Probit regressions using PNAD COVID-19 microdata. We have found that workers with the least possibilities for remote work were the poorest, males, rural residents, non-whites, youngest, without college education, self-employed or wage workers from the private sector and agriculture workers. An important part of that stems from differences in selection into occupations; however, some variables maintained important independent effects, especially the college education and the labor income. The pandemic, regarding the possibility of remote work, had the effect of widening the existing inequalities, favoring the wealthier, more educated, and more formalized workers and imposing on the others the need to choose between employment and income versus risk of contagion. Keywords: COVID-19; inequalities; labor market; pandemic; remote job JEL Code: J21, J22, J23 |
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Quem trabWho worked from home in Brazil? Inequalities highlighted by the pandemicalhou remotamente no Brasil? Desigualdades evidenciadas pela pandemiaQuem trabalhou remotamente no Brasil? Desigualdades evidenciadas pela pandemiaThere is some consensus that the pandemic can widen pre-existing inequalities in the labor market and that an essential issue concerns the unequal possibilities of working remotely. This study analyzes inequalities in remote work in Brazil through descriptive analyzes and Probit regressions using PNAD COVID-19 microdata. We have found that workers with the least possibilities for remote work were the poorest, males, rural residents, non-whites, youngest, without college education, self-employed or wage workers from the private sector and agriculture workers. An important part of that stems from differences in selection into occupations; however, some variables maintained important independent effects, especially the college education and the labor income. The pandemic, regarding the possibility of remote work, had the effect of widening the existing inequalities, favoring the wealthier, more educated, and more formalized workers and imposing on the others the need to choose between employment and income versus risk of contagion. Keywords: COVID-19; inequalities; labor market; pandemic; remote job JEL Code: J21, J22, J23Existe certo consenso de que a pandemia pode ampliar desigualdades preexistentes no mercado de trabalho e que uma questão essencial são as possibilidades desiguais de trabalhar remotamente. Este estudo avalia as desigualdades no trabalho remoto no Brasil por meio de análises descritivas e modelos Probit aplicados aos microdados da PNAD COVID-19. Constatamos que os trabalhadores que menos trabalharam remotamente foram os mais pobres, homens, residentes rurais, não brancos, mais jovens, sem ensino superior, autônomos ou assalariados sem carteira de trabalho assinada e trabalhadores agrícolas. Uma parte importante disso decorre de diferenças na seleção nas ocupações; mas, algumas variáveis mantiveram efeitos independentes importantes, principalmente a educação superior e a renda do trabalho. Logo, quanto à possibilidade de trabalho remoto, a pandemia teve efeito de ampliar desigualdades existentes, favorecendo os trabalhadores mais ricos, escolarizados e formalizados e impondo aos demais a necessidade de escolha entre emprego e renda e risco de contágio. Palavras-chave: COVID-19; desigualdades; mercado de trabalho; pandemia; trabalho remoto. Códigos JEL: J21, J22, J23Departamento de Ciências Econômicas da UFMG2021-12-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://revistas.face.ufmg.br/index.php/novaeconomia/article/view/6687Nova Economia; Vol. 31 No. 3 (2021): Revista Nova Economia; 899-927Nova Economia; v. 31 n. 3 (2021): Revista Nova Economia; 899-9271980-53810103-6351reponame:Nova Economia (Online)instname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGenghttps://revistas.face.ufmg.br/index.php/novaeconomia/article/view/6687/3640Copyright (c) 2021 Nicole Rennó Castro, Gustavo Carvalho Moreirahttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCastro, Nicole RennóMoreira, Gustavo Carvalho2022-02-22T19:02:41Zoai:ojs.pkp.sfu.ca:article/6687Revistahttps://revistas.face.ufmg.br/index.php/novaeconomiaPUBhttps://revistas.face.ufmg.br/index.php/novaeconomia/oai||ne@face.ufmg.br1980-53810103-6351opendoar:2022-02-22T19:02:41Nova Economia (Online) - Universidade Federal de Minas Gerais (UFMG)false |
dc.title.none.fl_str_mv |
Quem trabWho worked from home in Brazil? Inequalities highlighted by the pandemicalhou remotamente no Brasil? Desigualdades evidenciadas pela pandemia Quem trabalhou remotamente no Brasil? Desigualdades evidenciadas pela pandemia |
title |
Quem trabWho worked from home in Brazil? Inequalities highlighted by the pandemicalhou remotamente no Brasil? Desigualdades evidenciadas pela pandemia |
spellingShingle |
Quem trabWho worked from home in Brazil? Inequalities highlighted by the pandemicalhou remotamente no Brasil? Desigualdades evidenciadas pela pandemia Castro, Nicole Rennó |
title_short |
Quem trabWho worked from home in Brazil? Inequalities highlighted by the pandemicalhou remotamente no Brasil? Desigualdades evidenciadas pela pandemia |
title_full |
Quem trabWho worked from home in Brazil? Inequalities highlighted by the pandemicalhou remotamente no Brasil? Desigualdades evidenciadas pela pandemia |
title_fullStr |
Quem trabWho worked from home in Brazil? Inequalities highlighted by the pandemicalhou remotamente no Brasil? Desigualdades evidenciadas pela pandemia |
title_full_unstemmed |
Quem trabWho worked from home in Brazil? Inequalities highlighted by the pandemicalhou remotamente no Brasil? Desigualdades evidenciadas pela pandemia |
title_sort |
Quem trabWho worked from home in Brazil? Inequalities highlighted by the pandemicalhou remotamente no Brasil? Desigualdades evidenciadas pela pandemia |
author |
Castro, Nicole Rennó |
author_facet |
Castro, Nicole Rennó Moreira, Gustavo Carvalho |
author_role |
author |
author2 |
Moreira, Gustavo Carvalho |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Castro, Nicole Rennó Moreira, Gustavo Carvalho |
description |
There is some consensus that the pandemic can widen pre-existing inequalities in the labor market and that an essential issue concerns the unequal possibilities of working remotely. This study analyzes inequalities in remote work in Brazil through descriptive analyzes and Probit regressions using PNAD COVID-19 microdata. We have found that workers with the least possibilities for remote work were the poorest, males, rural residents, non-whites, youngest, without college education, self-employed or wage workers from the private sector and agriculture workers. An important part of that stems from differences in selection into occupations; however, some variables maintained important independent effects, especially the college education and the labor income. The pandemic, regarding the possibility of remote work, had the effect of widening the existing inequalities, favoring the wealthier, more educated, and more formalized workers and imposing on the others the need to choose between employment and income versus risk of contagion. Keywords: COVID-19; inequalities; labor market; pandemic; remote job JEL Code: J21, J22, J23 |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-30 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/6687 |
url |
https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/6687 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.face.ufmg.br/index.php/novaeconomia/article/view/6687/3640 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Nicole Rennó Castro, Gustavo Carvalho Moreira http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Nicole Rennó Castro, Gustavo Carvalho Moreira http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Departamento de Ciências Econômicas da UFMG |
publisher.none.fl_str_mv |
Departamento de Ciências Econômicas da UFMG |
dc.source.none.fl_str_mv |
Nova Economia; Vol. 31 No. 3 (2021): Revista Nova Economia; 899-927 Nova Economia; v. 31 n. 3 (2021): Revista Nova Economia; 899-927 1980-5381 0103-6351 reponame:Nova Economia (Online) instname:Universidade Federal de Minas Gerais (UFMG) instacron:UFMG |
instname_str |
Universidade Federal de Minas Gerais (UFMG) |
instacron_str |
UFMG |
institution |
UFMG |
reponame_str |
Nova Economia (Online) |
collection |
Nova Economia (Online) |
repository.name.fl_str_mv |
Nova Economia (Online) - Universidade Federal de Minas Gerais (UFMG) |
repository.mail.fl_str_mv |
||ne@face.ufmg.br |
_version_ |
1799711060388741120 |