O impacto distributivo do salário mínimo: a distribuição individual dos rendimentos do trabalho

Detalhes bibliográficos
Autor(a) principal: Soares, Sergei Suarez Dillon
Data de Publicação: 2004
Tipo de documento: Artigo
Idioma: por
Título da fonte: Economia Aplicada
Texto Completo: https://www.revistas.usp.br/ecoa/article/view/220236
Resumo: The objective of this paper is to estimate the impact that changes in the value of the minimum wage will have upon the distribution of individual labor income. Two complementary approaches will be used. The first approach is to use non-parametric methods to estimate the individual income labor distribution. The estimator used is the kernel estimator and the data come from the five PNADs since the Real Plan. The next approach in the paper is quantify the elasticity of labor income with relation to minimum wage increases. The data come from the monthly PMEs since the Real Plan and the methodology is to use various comparison groups to net out the minimum wage effect.
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spelling O impacto distributivo do salário mínimo: a distribuição individual dos rendimentos do trabalhominimum wageearningsincome distributionThe objective of this paper is to estimate the impact that changes in the value of the minimum wage will have upon the distribution of individual labor income. Two complementary approaches will be used. The first approach is to use non-parametric methods to estimate the individual income labor distribution. The estimator used is the kernel estimator and the data come from the five PNADs since the Real Plan. The next approach in the paper is quantify the elasticity of labor income with relation to minimum wage increases. The data come from the monthly PMEs since the Real Plan and the methodology is to use various comparison groups to net out the minimum wage effect.Universidade de São Paulo, FEA-RP/USP2004-02-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/ecoa/article/view/22023610.11606/1413-8050/ea220236Economia Aplicada; Vol. 8 Núm. 1 (2004); 47-76Economia Aplicada; Vol. 8 No. 1 (2004); 47-76Economia Aplicada; v. 8 n. 1 (2004); 47-761980-53301413-8050reponame:Economia Aplicadainstname:Universidade de São Paulo (USP)instacron:USPporhttps://www.revistas.usp.br/ecoa/article/view/220236/201081Copyright (c) 2004 Economia Aplicadahttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessSoares, Sergei Suarez Dillon 2023-12-13T16:00:19Zoai:revistas.usp.br:article/220236Revistahttps://www.revistas.usp.br/ecoaPUBhttps://www.revistas.usp.br/ecoa/oai||revecap@usp.br1980-53301413-8050opendoar:2023-12-13T16:00:19Economia Aplicada - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv O impacto distributivo do salário mínimo: a distribuição individual dos rendimentos do trabalho
title O impacto distributivo do salário mínimo: a distribuição individual dos rendimentos do trabalho
spellingShingle O impacto distributivo do salário mínimo: a distribuição individual dos rendimentos do trabalho
Soares, Sergei Suarez Dillon
minimum wage
earnings
income distribution
title_short O impacto distributivo do salário mínimo: a distribuição individual dos rendimentos do trabalho
title_full O impacto distributivo do salário mínimo: a distribuição individual dos rendimentos do trabalho
title_fullStr O impacto distributivo do salário mínimo: a distribuição individual dos rendimentos do trabalho
title_full_unstemmed O impacto distributivo do salário mínimo: a distribuição individual dos rendimentos do trabalho
title_sort O impacto distributivo do salário mínimo: a distribuição individual dos rendimentos do trabalho
author Soares, Sergei Suarez Dillon
author_facet Soares, Sergei Suarez Dillon
author_role author
dc.contributor.author.fl_str_mv Soares, Sergei Suarez Dillon
dc.subject.por.fl_str_mv minimum wage
earnings
income distribution
topic minimum wage
earnings
income distribution
description The objective of this paper is to estimate the impact that changes in the value of the minimum wage will have upon the distribution of individual labor income. Two complementary approaches will be used. The first approach is to use non-parametric methods to estimate the individual income labor distribution. The estimator used is the kernel estimator and the data come from the five PNADs since the Real Plan. The next approach in the paper is quantify the elasticity of labor income with relation to minimum wage increases. The data come from the monthly PMEs since the Real Plan and the methodology is to use various comparison groups to net out the minimum wage effect.
publishDate 2004
dc.date.none.fl_str_mv 2004-02-19
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://www.revistas.usp.br/ecoa/article/view/220236
10.11606/1413-8050/ea220236
url https://www.revistas.usp.br/ecoa/article/view/220236
identifier_str_mv 10.11606/1413-8050/ea220236
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://www.revistas.usp.br/ecoa/article/view/220236/201081
dc.rights.driver.fl_str_mv Copyright (c) 2004 Economia Aplicada
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2004 Economia Aplicada
http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade de São Paulo, FEA-RP/USP
publisher.none.fl_str_mv Universidade de São Paulo, FEA-RP/USP
dc.source.none.fl_str_mv Economia Aplicada; Vol. 8 Núm. 1 (2004); 47-76
Economia Aplicada; Vol. 8 No. 1 (2004); 47-76
Economia Aplicada; v. 8 n. 1 (2004); 47-76
1980-5330
1413-8050
reponame:Economia Aplicada
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Economia Aplicada
collection Economia Aplicada
repository.name.fl_str_mv Economia Aplicada - Universidade de São Paulo (USP)
repository.mail.fl_str_mv ||revecap@usp.br
_version_ 1800221693643325440

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