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Analysis of institutional authors

Bichara, Julimar Da SilvaAuthor

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May 10, 2025
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Article

Quantile and interquantile regression models for returns to education by economic sector and vulnerable population in Colombia

Publicated to:AIMS MATHEMATICS 9 (12): 35091-35124 - 2024-01-01 9(12), DOI: 10.3934/math.20241669

Authors: Campo-Robledo, Jacobo; Castillo-Robayo, Cristian; Bichara, Julimar da silva

Affiliations

Univ Autonoma Madrid, Dept Estruct Econ & Econ Desarrollo, Madrid, Spain - Author
Univ Catolica Colombia, Fac Ciencias Econ & Adm, Bogota, Colombia - Author
Univ Pedag & Tecnol Colombia, Fac Ciencias Econ & Adm, Tunja, Colombia - Author

Abstract

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.

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Quality index

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-18:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 5 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

    It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

    • The work has been submitted to a journal whose editorial policy allows open Open Access publication.

    Leadership analysis of institutional authors

    This work has been carried out with international collaboration, specifically with researchers from: Colombia.

    There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Campo-Robledo, Jacobo) and Last Author (SILVA BICHARA, JULIMAR DA).

    the author responsible for correspondence tasks has been Campo-Robledo, Jacobo.