Who worked from home in Brazil? Inequalities highlighted by the pandemic

Detalhes bibliográficos
Autor(a) principal: Castro, Nicole Rennó
Data de Publicação: 2021
Outros Autores: Moreira, Gustavo Carvalho
Tipo de documento: preprint
Idioma: eng
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/3395
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.
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spelling Who worked from home in Brazil? Inequalities highlighted by the pandemicQuem trabalhou remotamente no Brasil? Desigualdades evidenciadas pela pandemiaCOVID-19deisgualdadesmercado de trabalhopandemiatrabalho remotoCOVID-19inequalitieslabor marketpandemicremote jobThere 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.Existe 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.SciELO PreprintsSciELO PreprintsSciELO Preprints2021-12-22info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/339510.1590/0103-6351/6687enghttps://preprints.scielo.org/index.php/scielo/article/view/3395/6152Copyright (c) 2021 Nicole Rennó Castro, Gustavo Carvalho Moreirahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCastro, Nicole RennóMoreira, Gustavo Carvalhoreponame:SciELO Preprintsinstname:SciELOinstacron:SCI2021-12-22T12:55:34Zoai:ops.preprints.scielo.org:preprint/3395Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2021-12-22T12:55:34SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Who worked from home in Brazil? Inequalities highlighted by the pandemic
Quem trabalhou remotamente no Brasil? Desigualdades evidenciadas pela pandemia
title Who worked from home in Brazil? Inequalities highlighted by the pandemic
spellingShingle Who worked from home in Brazil? Inequalities highlighted by the pandemic
Castro, Nicole Rennó
COVID-19
deisgualdades
mercado de trabalho
pandemia
trabalho remoto
COVID-19
inequalities
labor market
pandemic
remote job
title_short Who worked from home in Brazil? Inequalities highlighted by the pandemic
title_full Who worked from home in Brazil? Inequalities highlighted by the pandemic
title_fullStr Who worked from home in Brazil? Inequalities highlighted by the pandemic
title_full_unstemmed Who worked from home in Brazil? Inequalities highlighted by the pandemic
title_sort Who worked from home in Brazil? Inequalities highlighted by the pandemic
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
dc.subject.por.fl_str_mv COVID-19
deisgualdades
mercado de trabalho
pandemia
trabalho remoto
COVID-19
inequalities
labor market
pandemic
remote job
topic COVID-19
deisgualdades
mercado de trabalho
pandemia
trabalho remoto
COVID-19
inequalities
labor market
pandemic
remote job
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.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-22
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
format preprint
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/3395
10.1590/0103-6351/6687
url https://preprints.scielo.org/index.php/scielo/preprint/view/3395
identifier_str_mv 10.1590/0103-6351/6687
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/3395/6152
dc.rights.driver.fl_str_mv Copyright (c) 2021 Nicole Rennó Castro, Gustavo Carvalho Moreira
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Nicole Rennó Castro, Gustavo Carvalho Moreira
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
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repository.mail.fl_str_mv scielo.submission@scielo.org
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