Retired who remain in the labour market
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/20 |
Resumo: | This article aims to analyze the profile of Northern individuals riograndenses that even after retirement, remain active in the labor market. For this purpose, we carried out a study of descriptive and exploratory. The data were obtained from the Census of 2000 and the study population were individuals living in Rio Grande do Norte, which were provided by retired General Social Security (RGPS). Initially we conducted a descriptive analysis of the data in order to verify possible correlations between existing variables. Thereafter, it proceeded to construct logistic regression models for modeling relationships between the highest correlation variables. The main results of the retiree's profile was found: male (69.9%), married (63.2%), white (46.3%) live in urban areas (81.1%). Regarding the variables that had greater chances of the individual being in retired status are living in the Central Region (OR = 1,219) or East RN (OR = 1.348), male gender (OR = 1.255), reside in the urban area (OR = 1.759), age between 52 and 60 years (OR = 8,798), between 61 and 67 years (OR = 2,447), above 68 years (OR = 1.151), retirement income or pension below the minimum wage (OR = 222.260) and retirement income or pension above a minimum wage (OR = 1,750). This type of study is becoming increasingly important, since the Brazilian's life expectancy is growing, making this population increase and require greater demand for quality of life. |
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Retired who remain in the labour marketJubilado que permanece en el mercado de trabajoAposentado que permanece no mercado de trabalhoAposentadoriaRegime Geral de Previdência SocialMercado de TrabalhoRio Grande do NorteRegressão Logística.JubiladoRégimen General de Previsión SocialMercado de trabajoRío Grande del NorteRegresión Logística.RetirementGeneral Social WelfareLabour MarketRio Grande do NorteLogistic Regression.This article aims to analyze the profile of Northern individuals riograndenses that even after retirement, remain active in the labor market. For this purpose, we carried out a study of descriptive and exploratory. The data were obtained from the Census of 2000 and the study population were individuals living in Rio Grande do Norte, which were provided by retired General Social Security (RGPS). Initially we conducted a descriptive analysis of the data in order to verify possible correlations between existing variables. Thereafter, it proceeded to construct logistic regression models for modeling relationships between the highest correlation variables. The main results of the retiree's profile was found: male (69.9%), married (63.2%), white (46.3%) live in urban areas (81.1%). Regarding the variables that had greater chances of the individual being in retired status are living in the Central Region (OR = 1,219) or East RN (OR = 1.348), male gender (OR = 1.255), reside in the urban area (OR = 1.759), age between 52 and 60 years (OR = 8,798), between 61 and 67 years (OR = 2,447), above 68 years (OR = 1.151), retirement income or pension below the minimum wage (OR = 222.260) and retirement income or pension above a minimum wage (OR = 1,750). This type of study is becoming increasingly important, since the Brazilian's life expectancy is growing, making this population increase and require greater demand for quality of life.El presente artículo tuvo como objetivo analizar el perfil de los individuos norte río-grandenses que, incluso después de la jubilación, permanecen activos en el mercado de trabajo. Para tal objetivo, se realizó un estudio de carácter descriptivo y exploratorio. Los datos fueron obtenidos del Censo Demográfico del año 2000 y la población analizada fueron los individuos residentes en Rio Grande do Norte, los cuales estaban en la condición de jubilados por el Régimen General de Previsión Social (RGPS). Inicialmente se realizó un análisis descriptivo de los datos a fin de verificar posibles correlaciones entre las variables existentes. Posteriormente, se procedió a la construcción de modelos de regresión logísticos para modelar relaciones entre las variables de más alta correlación. Como principales resultados sobre el perfil del jubilado se encontró: sexo masculino (69,9%), casados (63,2%), blancos (46,3%), residen en el área urbana (81,1%). En cuanto a las variables que presentaron mayores posibilidades del individuo estar en la condición de jubilado son: vive en la Región Central (RC = 1,219) o Este del RN (RC = 1,348), ser del sexo masculino (RC = 1,255), residir en la zona urbana (RC = 1,759), tener edad entre 52 y 60 años (RC = 8,798), entre 61 y 67 años (RC = 2,447), por encima de 68 años (RC = 1,151), rendimiento de jubilación o pensión por debajo de un salario mínimo (RC = 222,260) y rendimiento de jubilación o pensión por encima de un salario mínimo (RC = 1,750). Este tipo de estudio se vuelve cada vez más importante, ya que la expectativa de vida del brasileño está creciendo, haciendo que esta parte de la población aumente y necesite una mayor demanda de calidad de vida.O presente artigo teve como objetivo analisar o perfil dos indivíduos norte rio-grandenses que, mesmo depois da aposentadoria, permanecem ativos no mercado de trabalho. Para tal objetivo, realizou-se um estudo de caráter descritivo e exploratório. Os dados foram obtidos do Censo Demográfico do ano 2000 e a população analisada foram os indivíduos residentes no Rio Grande do Norte, os quais estavam na condição de aposentados pelo Regime Geral de Previdência Social (RGPS). Inicialmente realizou-se uma análise descritiva dos dados a fim de verificar possíveis correlações entre as variáveis existentes. Posteriormente, procedeu-se a construção de modelos de regressão logísticos para modelar relações entre as variáveis de mais alta correlação. Como principais resultados sobre o perfil do aposentado encontrou-se: sexo masculino (69,9%), casados (63,2%), brancos (46,3%), residem na área urbana (81,1%). Com relação às variáveis que apresentaram maiores chances do indivíduo estar na condição de aposentado são: vive na Região Central (RC = 1,219) ou Leste do RN (RC = 1,348), ser do sexo masculino (RC = 1,255), residir na zona urbana (RC = 1,759), ter idade entre 52 e 60 anos (RC= 8,798), entre 61 e 67 anos (RC = 2,447), acima de 68 anos (RC = 1,151), rendimento de aposentadoria ou pensão abaixo de um salário mínimo (RC = 222,260) e rendimento de aposentadoria ou pensão acima de um salário mínimo (RC = 1,750). Esse tipo de estudo torna-se cada vez mais importante, uma vez que a expectativa de vida do brasileiro está crescendo, fazendo com que essa parcela da população aumente e necessite de maior demanda por qualidade de vida.Research, Society and Development2016-09-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2010.17648/rsd-v2i1.20Research, Society and Development; Vol. 2 No. 1; 35-56Research, Society and Development; Vol. 2 Núm. 1; 35-56Research, Society and Development; v. 2 n. 1; 35-562525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/20/21Copyright (c) 2016 Research, Society and Developmentinfo:eu-repo/semantics/openAccessGomes, Anna Cecília ChavesNeri, André do NascimentoCosta, Clara Daliane Silva daAraújo, Ekza Tatiane Palhares deLima, Maricélia AssisSouza, Mayany Cleyses Morais deCruz Júnior, Valdeniz da Silva2019-01-21T22:33:09Zoai:ojs.pkp.sfu.ca:article/20Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:25:43.905080Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Retired who remain in the labour market Jubilado que permanece en el mercado de trabajo Aposentado que permanece no mercado de trabalho |
title |
Retired who remain in the labour market |
spellingShingle |
Retired who remain in the labour market Gomes, Anna Cecília Chaves Aposentadoria Regime Geral de Previdência Social Mercado de Trabalho Rio Grande do Norte Regressão Logística. Jubilado Régimen General de Previsión Social Mercado de trabajo Río Grande del Norte Regresión Logística. Retirement General Social Welfare Labour Market Rio Grande do Norte Logistic Regression. |
title_short |
Retired who remain in the labour market |
title_full |
Retired who remain in the labour market |
title_fullStr |
Retired who remain in the labour market |
title_full_unstemmed |
Retired who remain in the labour market |
title_sort |
Retired who remain in the labour market |
author |
Gomes, Anna Cecília Chaves |
author_facet |
Gomes, Anna Cecília Chaves Neri, André do Nascimento Costa, Clara Daliane Silva da Araújo, Ekza Tatiane Palhares de Lima, Maricélia Assis Souza, Mayany Cleyses Morais de Cruz Júnior, Valdeniz da Silva |
author_role |
author |
author2 |
Neri, André do Nascimento Costa, Clara Daliane Silva da Araújo, Ekza Tatiane Palhares de Lima, Maricélia Assis Souza, Mayany Cleyses Morais de Cruz Júnior, Valdeniz da Silva |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Gomes, Anna Cecília Chaves Neri, André do Nascimento Costa, Clara Daliane Silva da Araújo, Ekza Tatiane Palhares de Lima, Maricélia Assis Souza, Mayany Cleyses Morais de Cruz Júnior, Valdeniz da Silva |
dc.subject.por.fl_str_mv |
Aposentadoria Regime Geral de Previdência Social Mercado de Trabalho Rio Grande do Norte Regressão Logística. Jubilado Régimen General de Previsión Social Mercado de trabajo Río Grande del Norte Regresión Logística. Retirement General Social Welfare Labour Market Rio Grande do Norte Logistic Regression. |
topic |
Aposentadoria Regime Geral de Previdência Social Mercado de Trabalho Rio Grande do Norte Regressão Logística. Jubilado Régimen General de Previsión Social Mercado de trabajo Río Grande del Norte Regresión Logística. Retirement General Social Welfare Labour Market Rio Grande do Norte Logistic Regression. |
description |
This article aims to analyze the profile of Northern individuals riograndenses that even after retirement, remain active in the labor market. For this purpose, we carried out a study of descriptive and exploratory. The data were obtained from the Census of 2000 and the study population were individuals living in Rio Grande do Norte, which were provided by retired General Social Security (RGPS). Initially we conducted a descriptive analysis of the data in order to verify possible correlations between existing variables. Thereafter, it proceeded to construct logistic regression models for modeling relationships between the highest correlation variables. The main results of the retiree's profile was found: male (69.9%), married (63.2%), white (46.3%) live in urban areas (81.1%). Regarding the variables that had greater chances of the individual being in retired status are living in the Central Region (OR = 1,219) or East RN (OR = 1.348), male gender (OR = 1.255), reside in the urban area (OR = 1.759), age between 52 and 60 years (OR = 8,798), between 61 and 67 years (OR = 2,447), above 68 years (OR = 1.151), retirement income or pension below the minimum wage (OR = 222.260) and retirement income or pension above a minimum wage (OR = 1,750). This type of study is becoming increasingly important, since the Brazilian's life expectancy is growing, making this population increase and require greater demand for quality of life. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-09-05 |
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://rsdjournal.org/index.php/rsd/article/view/20 10.17648/rsd-v2i1.20 |
url |
https://rsdjournal.org/index.php/rsd/article/view/20 |
identifier_str_mv |
10.17648/rsd-v2i1.20 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/20/21 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 Research, Society and Development info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 Research, Society and Development |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 2 No. 1; 35-56 Research, Society and Development; Vol. 2 Núm. 1; 35-56 Research, Society and Development; v. 2 n. 1; 35-56 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052822852730880 |