Gender Dissimilarities in Human Capital Transferability of Cuban Immigrants in the US: A Clustering Quantile Regression Coefficients Approach with Consideration of Implications for Sustainability

Female participation in the labor market has been increasing over time. Despite the fact that the level of education among women has also increased considerably, the wage gap has not narrowed to the same extent. This dichotomy presents an important challenge that the United Nations Sustainable Devel...

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Autores principales:	Aleida Cobas-Valdés, Javier Fernández-Macho
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	transferability of human capital earnings distribution immigrant workers quantile regression discrimination by gender Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/e767889e18424646b684be136a42dbe3
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spelling	oai:doaj.org-article:e767889e18424646b684be136a42dbe32021-11-11T19:39:58ZGender Dissimilarities in Human Capital Transferability of Cuban Immigrants in the US: A Clustering Quantile Regression Coefficients Approach with Consideration of Implications for Sustainability10.3390/su1321120042071-1050https://doaj.org/article/e767889e18424646b684be136a42dbe32021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/12004https://doaj.org/toc/2071-1050Female participation in the labor market has been increasing over time. Despite the fact that the level of education among women has also increased considerably, the wage gap has not narrowed to the same extent. This dichotomy presents an important challenge that the United Nations Sustainable Development Goals with respect to gender inequities must address. Hispanics constitute the largest minority group in the US, totaling 60.6 million people (18.5% of the total US population in 2020). Cubans make up the third largest group of Hispanic immigrants in the US, representing 5% of workers. This paper analyzes the conditional income distribution of Cuban immigrants in the US using the clustering of effects curves (CEC) technique in a quantile regression coefficients modeling (QRCM) framework to compare the transferability of human capital between women and men. The method uses a flexible quantile regression approach and hierarchical clustering to model the effect of covariates (such as years of education, English proficiency, US citizenship status, and age at time of migration) on hourly earnings. The main conclusion drawn from the QRCM estimations was that being a woman had the strongest negative impact on earnings and was associated with lower wages in all quantiles of the distribution. CEC analysis suggested that educational attainment was included in different clusters for the two groups, which may have indicated that education did not play the same role for men and women in income distribution.Aleida Cobas-ValdésJavier Fernández-MachoMDPI AGarticletransferability of human capitalearnings distributionimmigrant workersquantile regressiondiscrimination by genderEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12004, p 12004 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	transferability of human capital earnings distribution immigrant workers quantile regression discrimination by gender Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	transferability of human capital earnings distribution immigrant workers quantile regression discrimination by gender Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Aleida Cobas-Valdés Javier Fernández-Macho Gender Dissimilarities in Human Capital Transferability of Cuban Immigrants in the US: A Clustering Quantile Regression Coefficients Approach with Consideration of Implications for Sustainability
description	Female participation in the labor market has been increasing over time. Despite the fact that the level of education among women has also increased considerably, the wage gap has not narrowed to the same extent. This dichotomy presents an important challenge that the United Nations Sustainable Development Goals with respect to gender inequities must address. Hispanics constitute the largest minority group in the US, totaling 60.6 million people (18.5% of the total US population in 2020). Cubans make up the third largest group of Hispanic immigrants in the US, representing 5% of workers. This paper analyzes the conditional income distribution of Cuban immigrants in the US using the clustering of effects curves (CEC) technique in a quantile regression coefficients modeling (QRCM) framework to compare the transferability of human capital between women and men. The method uses a flexible quantile regression approach and hierarchical clustering to model the effect of covariates (such as years of education, English proficiency, US citizenship status, and age at time of migration) on hourly earnings. The main conclusion drawn from the QRCM estimations was that being a woman had the strongest negative impact on earnings and was associated with lower wages in all quantiles of the distribution. CEC analysis suggested that educational attainment was included in different clusters for the two groups, which may have indicated that education did not play the same role for men and women in income distribution.
format	article
author	Aleida Cobas-Valdés Javier Fernández-Macho
author_facet	Aleida Cobas-Valdés Javier Fernández-Macho
author_sort	Aleida Cobas-Valdés
title	Gender Dissimilarities in Human Capital Transferability of Cuban Immigrants in the US: A Clustering Quantile Regression Coefficients Approach with Consideration of Implications for Sustainability
title_short	Gender Dissimilarities in Human Capital Transferability of Cuban Immigrants in the US: A Clustering Quantile Regression Coefficients Approach with Consideration of Implications for Sustainability
title_full	Gender Dissimilarities in Human Capital Transferability of Cuban Immigrants in the US: A Clustering Quantile Regression Coefficients Approach with Consideration of Implications for Sustainability
title_fullStr	Gender Dissimilarities in Human Capital Transferability of Cuban Immigrants in the US: A Clustering Quantile Regression Coefficients Approach with Consideration of Implications for Sustainability
title_full_unstemmed	Gender Dissimilarities in Human Capital Transferability of Cuban Immigrants in the US: A Clustering Quantile Regression Coefficients Approach with Consideration of Implications for Sustainability
title_sort	gender dissimilarities in human capital transferability of cuban immigrants in the us: a clustering quantile regression coefficients approach with consideration of implications for sustainability
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e767889e18424646b684be136a42dbe3
work_keys_str_mv	AT aleidacobasvaldes genderdissimilaritiesinhumancapitaltransferabilityofcubanimmigrantsintheusaclusteringquantileregressioncoefficientsapproachwithconsiderationofimplicationsforsustainability AT javierfernandezmacho genderdissimilaritiesinhumancapitaltransferabilityofcubanimmigrantsintheusaclusteringquantileregressioncoefficientsapproachwithconsiderationofimplicationsforsustainability
_version_	1718431498662576128

Gender Dissimilarities in Human Capital Transferability of Cuban Immigrants in the US: A Clustering Quantile Regression Coefficients Approach with Consideration of Implications for Sustainability

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