Determinants of the participation of the field population in the RMSP labor market

Detalhes bibliográficos
Autor(a) principal: Duarte, Leandro Batista
Data de Publicação: 2023
Outros Autores: Belmiro, Maria Orlandia de Melo, Santos, Arlete Ramos dos
Tipo de documento: Artigo
Idioma: por
Título da fonte: DRd - Desenvolvimento Regional em debate
Texto Completo: http://www.periodicos.unc.br/index.php/drd/article/view/3716
Resumo: Given the importance of the participation of the rural population in the labor market, the present study evaluates the behavior of the determinants of such insertion through an econometric model that estimates the chances of an individual being economically active, the Probit model. This model is a type of regression analysis suitable for datasets where a dependent variable is a binary choice. The determinants that had the greatest impact in terms of increasing participation were: education, age, position at home and race. In order to make a comparison between genders, it also estimates the participation for men and women separately. Among the differences found, the main one was that, although the impact of education on the studied probability was the most important among the factors analyzed for both genders, it was more marked among women for the highest levels of education. Another important result was the variables of household heads and whether the person is married, being marked by men and women, respectively. Keywords: Labor Market. PEA. Metropolitan region of Sao Paulo.
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spelling Determinants of the participation of the field population in the RMSP labor marketDeterminantes de la participación de la población de campo en el mercado laboral de RMSPDeterminantes da participação da população do campo no mercado de trabalho da RMSPGiven the importance of the participation of the rural population in the labor market, the present study evaluates the behavior of the determinants of such insertion through an econometric model that estimates the chances of an individual being economically active, the Probit model. This model is a type of regression analysis suitable for datasets where a dependent variable is a binary choice. The determinants that had the greatest impact in terms of increasing participation were: education, age, position at home and race. In order to make a comparison between genders, it also estimates the participation for men and women separately. Among the differences found, the main one was that, although the impact of education on the studied probability was the most important among the factors analyzed for both genders, it was more marked among women for the highest levels of education. Another important result was the variables of household heads and whether the person is married, being marked by men and women, respectively. Keywords: Labor Market. PEA. Metropolitan region of Sao Paulo.Dada la importancia de la participación de la población rural en el mercado laboral, el presente estudio evalúa el comportamiento de los determinantes de dicha inserción a través de un modelo econométrico que estima las posibilidades de que un individuo sea económicamente activo, el modelo Probit. Este modelo es un tipo de análisis de regresíon adecuado para conjuntos de datos donde una variable dependiente es una opción binaria. Los determinantes que tuvieron mayor impacto en términos de aumento de la participación fueron: educación, edad, posición en el hogar y raza. Para hacer una comparación entre los géneros, también estima la participación de hombres y mujeres por separado. Entre las diferencias encontradas, la principal fue que, si bien el impacto de la educación sobre la probabilidad estudiada fue el más importante entre los factores analizados para ambos géneros, fue más marcado entre las mujeres para los niveles más altos de educación. Otro resultado importante fueron las variables de jefes de hogar y si la persona está casada, lo cual es notable para hombres y mujeres, respectivamente. Palavras clave: Mercado Laboral. PEA. Región Metropolitana de Sao Paulo.Diante da importância da participação da população do campo no mercado de trabalho, o presente estudo avalia o comportamento dos determinantes de tal inserção através de um modelo econométrico que estima as chances de um indivíduo encontrar-se economicamente ativo, modelo Probit. Este modelo é um tipo de análise de regressão apropriado para conjuntos de dados em que a variável dependente é de escolha binária. Os determinantes que apresentaram o maior impacto no sentido de elevar a participação foram: escolaridade, idade, posição no domicílio e raça. Visando realizar uma comparação entre os gêneros, estima também a participação para homens e mulheres separadamente. Dentre as diferenças encontradas, a principal foi que, embora o impacto da educação sobre a probabilidade estudada tenha sido o mais importante dentre os fatores analisados para ambos os gêneros, ele se mostrou mais marcante entre as mulheres para os maiores graus de instrução. Outro resultado importante foi quanto as variáveis chefes de família e se a pessoa é casada, sendo marcante para homens e mulheres, respectivamente.  Palavras-chave: Mercado de trabalho. PEA. Região Metropolitana de São Paulo.Universidade do Contestado (UNC)2023-06-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.unc.br/index.php/drd/article/view/371610.24302/drd.v13.3716DRd - Desenvolvimento Regional em debate; v. 13 (2023); 170-1882237-9029reponame:DRd - Desenvolvimento Regional em debateinstname:Universidade do Contestado (UNC)instacron:UNCporhttp://www.periodicos.unc.br/index.php/drd/article/view/3716/2002Copyright (c) 2023 DRd - Desenvolvimento Regional em debatehttps://creativecommons.org/licenses/by-nd/4.0info:eu-repo/semantics/openAccessDuarte, Leandro Batista Belmiro, Maria Orlandia de MeloSantos, Arlete Ramos dos2023-12-13T16:59:21Zoai:ojs.pkp.sfu.ca:article/3716Revistahttp://www.periodicos.unc.br/index.php/drdONGhttp://www.periodicos.unc.br/index.php/drd/oaidaniela@unc.br || revistadrd@unc.br || alexandre@unc.br || josiane@unc.br || valdir@unc.br2237-90292237-9029opendoar:2023-12-13T16:59:21DRd - Desenvolvimento Regional em debate - Universidade do Contestado (UNC)false
dc.title.none.fl_str_mv Determinants of the participation of the field population in the RMSP labor market
Determinantes de la participación de la población de campo en el mercado laboral de RMSP
Determinantes da participação da população do campo no mercado de trabalho da RMSP
title Determinants of the participation of the field population in the RMSP labor market
spellingShingle Determinants of the participation of the field population in the RMSP labor market
Duarte, Leandro Batista
title_short Determinants of the participation of the field population in the RMSP labor market
title_full Determinants of the participation of the field population in the RMSP labor market
title_fullStr Determinants of the participation of the field population in the RMSP labor market
title_full_unstemmed Determinants of the participation of the field population in the RMSP labor market
title_sort Determinants of the participation of the field population in the RMSP labor market
author Duarte, Leandro Batista
author_facet Duarte, Leandro Batista
Belmiro, Maria Orlandia de Melo
Santos, Arlete Ramos dos
author_role author
author2 Belmiro, Maria Orlandia de Melo
Santos, Arlete Ramos dos
author2_role author
author
dc.contributor.author.fl_str_mv Duarte, Leandro Batista
Belmiro, Maria Orlandia de Melo
Santos, Arlete Ramos dos
description Given the importance of the participation of the rural population in the labor market, the present study evaluates the behavior of the determinants of such insertion through an econometric model that estimates the chances of an individual being economically active, the Probit model. This model is a type of regression analysis suitable for datasets where a dependent variable is a binary choice. The determinants that had the greatest impact in terms of increasing participation were: education, age, position at home and race. In order to make a comparison between genders, it also estimates the participation for men and women separately. Among the differences found, the main one was that, although the impact of education on the studied probability was the most important among the factors analyzed for both genders, it was more marked among women for the highest levels of education. Another important result was the variables of household heads and whether the person is married, being marked by men and women, respectively. Keywords: Labor Market. PEA. Metropolitan region of Sao Paulo.
publishDate 2023
dc.date.none.fl_str_mv 2023-06-23
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 http://www.periodicos.unc.br/index.php/drd/article/view/3716
10.24302/drd.v13.3716
url http://www.periodicos.unc.br/index.php/drd/article/view/3716
identifier_str_mv 10.24302/drd.v13.3716
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv http://www.periodicos.unc.br/index.php/drd/article/view/3716/2002
dc.rights.driver.fl_str_mv Copyright (c) 2023 DRd - Desenvolvimento Regional em debate
https://creativecommons.org/licenses/by-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 DRd - Desenvolvimento Regional em debate
https://creativecommons.org/licenses/by-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade do Contestado (UNC)
publisher.none.fl_str_mv Universidade do Contestado (UNC)
dc.source.none.fl_str_mv DRd - Desenvolvimento Regional em debate; v. 13 (2023); 170-188
2237-9029
reponame:DRd - Desenvolvimento Regional em debate
instname:Universidade do Contestado (UNC)
instacron:UNC
instname_str Universidade do Contestado (UNC)
instacron_str UNC
institution UNC
reponame_str DRd - Desenvolvimento Regional em debate
collection DRd - Desenvolvimento Regional em debate
repository.name.fl_str_mv DRd - Desenvolvimento Regional em debate - Universidade do Contestado (UNC)
repository.mail.fl_str_mv daniela@unc.br || revistadrd@unc.br || alexandre@unc.br || josiane@unc.br || valdir@unc.br
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