Quantile and interquantile regression models for returns to education by economic sector and vulnerable population in Colombia
We investigated the returns to education by economic sector in Colombia, focusing on the relationship between educational levels (degree of highest educational level) and wages in different labor areas (economic sectors), as well as vulnerable populations such as women and migrants. Quantile and int...
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AIMS Press
2024-12-01
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| Series: | AIMS Mathematics |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/math.20241669 |
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| author | Jacobo Campo-Robledo Cristian Castillo-Robayo Julimar da silva Bichara |
| author_facet | Jacobo Campo-Robledo Cristian Castillo-Robayo Julimar da silva Bichara |
| author_sort | Jacobo Campo-Robledo |
| collection | DOAJ |
| description | We investigated the returns to education by economic sector in Colombia, focusing on the relationship between educational levels (degree of highest educational level) and wages in different labor areas (economic sectors), as well as vulnerable populations such as women and migrants. Quantile and interquantile regressions were employed, correcting for selection bias through the inverse Mills ratio and using monthly data from Colombia's Great Integrated Household Survey (GEIH) for 2019, to explore how the effect of education varies at different points of the income distribution and between these points. Using quantile regression provided a more comprehensive view of this relationship than traditional statistical regression approaches. Traditional Mincerian socioeconomic variables such as gender, experience, hours worked, marital status, relationship with the head of the household, and social security affiliation, were controlled for. Results show that while there is a positive effect between educational level and income in all economic sectors studied, this relationship varies in magnitude and form along the wage distribution. |
| format | Article |
| id | doaj-art-5792ef76648c4d9bb0e9d4d59849e486 |
| institution | Kabale University |
| issn | 2473-6988 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | AIMS Mathematics |
| spelling | doaj-art-5792ef76648c4d9bb0e9d4d59849e4862025-01-23T07:53:25ZengAIMS PressAIMS Mathematics2473-69882024-12-01912350913512410.3934/math.20241669Quantile and interquantile regression models for returns to education by economic sector and vulnerable population in ColombiaJacobo Campo-Robledo0Cristian Castillo-Robayo1Julimar da silva Bichara2Estudiante. Doctorado en Economía y Empresa, Departamento de Estructura Económica y Economía del Desarrollo, Universidad Autónoma de Madrid, Madrid, EspañaDesh Consultores, Facultad de Ciencias Económicas y Administrativas, Universidad Pedagógica y Tecnológica de Colombia, Tunja, ColombiaDepartamento de Estructura Económica y Economía del Desarrollo, Universidad Autónoma de Madrid, Madrid, EspañaWe investigated the returns to education by economic sector in Colombia, focusing on the relationship between educational levels (degree of highest educational level) and wages in different labor areas (economic sectors), as well as vulnerable populations such as women and migrants. Quantile and interquantile regressions were employed, correcting for selection bias through the inverse Mills ratio and using monthly data from Colombia's Great Integrated Household Survey (GEIH) for 2019, to explore how the effect of education varies at different points of the income distribution and between these points. Using quantile regression provided a more comprehensive view of this relationship than traditional statistical regression approaches. Traditional Mincerian socioeconomic variables such as gender, experience, hours worked, marital status, relationship with the head of the household, and social security affiliation, were controlled for. Results show that while there is a positive effect between educational level and income in all economic sectors studied, this relationship varies in magnitude and form along the wage distribution.https://www.aimspress.com/article/doi/10.3934/math.20241669educationacademic degreeseconomic sectorquantile regressioncolombia |
| spellingShingle | Jacobo Campo-Robledo Cristian Castillo-Robayo Julimar da silva Bichara Quantile and interquantile regression models for returns to education by economic sector and vulnerable population in Colombia AIMS Mathematics education academic degrees economic sector quantile regression colombia |
| title | Quantile and interquantile regression models for returns to education by economic sector and vulnerable population in Colombia |
| title_full | Quantile and interquantile regression models for returns to education by economic sector and vulnerable population in Colombia |
| title_fullStr | Quantile and interquantile regression models for returns to education by economic sector and vulnerable population in Colombia |
| title_full_unstemmed | Quantile and interquantile regression models for returns to education by economic sector and vulnerable population in Colombia |
| title_short | Quantile and interquantile regression models for returns to education by economic sector and vulnerable population in Colombia |
| title_sort | quantile and interquantile regression models for returns to education by economic sector and vulnerable population in colombia |
| topic | education academic degrees economic sector quantile regression colombia |
| url | https://www.aimspress.com/article/doi/10.3934/math.20241669 |
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