Gender Inequity: Older Workers and the Gender Labor Income Gap in Peru

Detalhes bibliográficos
Autor(a) principal: Cruz Saco, Maria Amparo
Data de Publicação: 2022
Outros Autores: Gil, Mirian, Campos, Cynthia
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.17645/si.v10i1.4783
Resumo: Using annual household surveys from 2004 to 2019, we examine the existence of a gender labor income gap among older persons in Peru. Two labor income models are estimated: Model 1 uses a basic set of demographic, socioeconomic, and personal characteristics as regressors (also called endowments); Model 2 uses the basic set plus additional personal characteristics. The Mincer‐type relationship holds with positive returns for education and experience, and the anticipated association to the endowments. The Oaxaca‐Blinder decomposition yields an explained labor income gender gap of 44.4% (Model 1) and 51.5% (Model 2), i.e., controlling for endowments, approximately one half of the labor income difference remains unexplained and can be attributed to discrimination and labor segregation. In light of these results, we estimate Model 3 with two additional variables (head of household and beneficiary of intergenerational private transfer) which attempt to capture gendered stereotypes. With these two variables which provide information on gender discrimination the explained labor income gap for Model 3 is 71.1%—an increase of 19.6%. The unexplained component of the difference in labor income amounts to 28.8% that we attribute to unobserved variables that operate as post‐labor market elements in patriarchal societies. Results show that gender inequity during a woman’s life‐span manifests acutely among older women, which raises important implications for policy interventions.
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spelling Gender Inequity: Older Workers and the Gender Labor Income Gap in Peruaging; gender inequity; labor earnings; older persons; pension coverage; PeruUsing annual household surveys from 2004 to 2019, we examine the existence of a gender labor income gap among older persons in Peru. Two labor income models are estimated: Model 1 uses a basic set of demographic, socioeconomic, and personal characteristics as regressors (also called endowments); Model 2 uses the basic set plus additional personal characteristics. The Mincer‐type relationship holds with positive returns for education and experience, and the anticipated association to the endowments. The Oaxaca‐Blinder decomposition yields an explained labor income gender gap of 44.4% (Model 1) and 51.5% (Model 2), i.e., controlling for endowments, approximately one half of the labor income difference remains unexplained and can be attributed to discrimination and labor segregation. In light of these results, we estimate Model 3 with two additional variables (head of household and beneficiary of intergenerational private transfer) which attempt to capture gendered stereotypes. With these two variables which provide information on gender discrimination the explained labor income gap for Model 3 is 71.1%—an increase of 19.6%. The unexplained component of the difference in labor income amounts to 28.8% that we attribute to unobserved variables that operate as post‐labor market elements in patriarchal societies. Results show that gender inequity during a woman’s life‐span manifests acutely among older women, which raises important implications for policy interventions.Cogitatio2022-01-25info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.17645/si.v10i1.4783oai:ojs.cogitatiopress.com:article/4783Social Inclusion; Vol 10, No 1 (2022): Recent Trends in Inequality and Exclusion in Latin America; 35-452183-2803reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttps://www.cogitatiopress.com/socialinclusion/article/view/4783https://doi.org/10.17645/si.v10i1.4783https://www.cogitatiopress.com/socialinclusion/article/view/4783/4783Copyright (c) 2022 Maria Amparo Cruz Saco, Mirian Gil, Cynthia Camposhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessCruz Saco, Maria AmparoGil, MirianCampos, Cynthia2022-12-20T10:59:58Zoai:ojs.cogitatiopress.com:article/4783Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:21:31.129461Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Gender Inequity: Older Workers and the Gender Labor Income Gap in Peru
title Gender Inequity: Older Workers and the Gender Labor Income Gap in Peru
spellingShingle Gender Inequity: Older Workers and the Gender Labor Income Gap in Peru
Cruz Saco, Maria Amparo
aging; gender inequity; labor earnings; older persons; pension coverage; Peru
title_short Gender Inequity: Older Workers and the Gender Labor Income Gap in Peru
title_full Gender Inequity: Older Workers and the Gender Labor Income Gap in Peru
title_fullStr Gender Inequity: Older Workers and the Gender Labor Income Gap in Peru
title_full_unstemmed Gender Inequity: Older Workers and the Gender Labor Income Gap in Peru
title_sort Gender Inequity: Older Workers and the Gender Labor Income Gap in Peru
author Cruz Saco, Maria Amparo
author_facet Cruz Saco, Maria Amparo
Gil, Mirian
Campos, Cynthia
author_role author
author2 Gil, Mirian
Campos, Cynthia
author2_role author
author
dc.contributor.author.fl_str_mv Cruz Saco, Maria Amparo
Gil, Mirian
Campos, Cynthia
dc.subject.por.fl_str_mv aging; gender inequity; labor earnings; older persons; pension coverage; Peru
topic aging; gender inequity; labor earnings; older persons; pension coverage; Peru
description Using annual household surveys from 2004 to 2019, we examine the existence of a gender labor income gap among older persons in Peru. Two labor income models are estimated: Model 1 uses a basic set of demographic, socioeconomic, and personal characteristics as regressors (also called endowments); Model 2 uses the basic set plus additional personal characteristics. The Mincer‐type relationship holds with positive returns for education and experience, and the anticipated association to the endowments. The Oaxaca‐Blinder decomposition yields an explained labor income gender gap of 44.4% (Model 1) and 51.5% (Model 2), i.e., controlling for endowments, approximately one half of the labor income difference remains unexplained and can be attributed to discrimination and labor segregation. In light of these results, we estimate Model 3 with two additional variables (head of household and beneficiary of intergenerational private transfer) which attempt to capture gendered stereotypes. With these two variables which provide information on gender discrimination the explained labor income gap for Model 3 is 71.1%—an increase of 19.6%. The unexplained component of the difference in labor income amounts to 28.8% that we attribute to unobserved variables that operate as post‐labor market elements in patriarchal societies. Results show that gender inequity during a woman’s life‐span manifests acutely among older women, which raises important implications for policy interventions.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-25
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url https://doi.org/10.17645/si.v10i1.4783
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv https://www.cogitatiopress.com/socialinclusion/article/view/4783
https://doi.org/10.17645/si.v10i1.4783
https://www.cogitatiopress.com/socialinclusion/article/view/4783/4783
dc.rights.driver.fl_str_mv Copyright (c) 2022 Maria Amparo Cruz Saco, Mirian Gil, Cynthia Campos
http://creativecommons.org/licenses/by/4.0
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rights_invalid_str_mv Copyright (c) 2022 Maria Amparo Cruz Saco, Mirian Gil, Cynthia Campos
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Cogitatio
publisher.none.fl_str_mv Cogitatio
dc.source.none.fl_str_mv Social Inclusion; Vol 10, No 1 (2022): Recent Trends in Inequality and Exclusion in Latin America; 35-45
2183-2803
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