Determinants of the participation of the field population in the RMSP labor market
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , |
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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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 |
_version_ |
1797231528101543936 |