Determinantes del nivel de salario de los economistas en las ciudades de Bogotá, Bucaramanga, Medellín y Cali, antes y después de la pandemia Covid-19

Objective: This study investigates the determinants of economists' salaries in Bogotá, Bucaramanga, Medellín, and Cali, before and after the COVID-19 pandemic. Methodology: Data from 1,480 job offers for economists from the pre-pandemic (2018-2019) and post-pandemic (2021-2024) periods were analyzed. A Multinomial Logit model was constructed to assess the salary levels offered in the analyzed job postings. The covariates considered were educational level, years of experience, English proficiency, and computer skills, controlling for city and sector of the offering company. Results: Before the pandemic, English proficiency, educational level, and previous experience were significant factors influencing economists' salaries. After the pandemic, the importance of English proficiency decreased, while specialized computer skills gained prominence. Conclusions: This study highlights the need for continuous adaptation of economists and economics curricula to the changing demands of the post-pandemic labor market.

Publication Details

Journal
Dialnet (Universidad de la Rioja)
Published
2025-01-01
Primary Topic
Astrophysical Phenomena and Observations
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article
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article

Determinantes del nivel de salario de los economistas en las ciudades de Bogotá, Bucaramanga, Medellín y Cali, antes y después de la pandemia Covid-19

Dialnet (Universidad de la Rioja)
Astrophysical Phenomena and Observations
article

Determinantes del nivel de salario de los economistas en las ciudades de Bogotá, Bucaramanga, Medellín y Cali, antes y después de la pandemia Covid-19

article en

Abstract

Objective: This study investigates the determinants of economists' salaries in Bogotá, Bucaramanga, Medellín, and Cali, before and after the COVID-19 pandemic. Methodology: Data from 1,480 job offers for economists from the pre-pandemic (2018-2019) and post-pandemic (2021-2024) periods were analyzed. A Multinomial Logit model was constructed to assess the salary levels offered in the analyzed job postings. The covariates considered were educational level, years of experience, English proficiency, and computer skills, controlling for city and sector of the offering company. Results: Before the pandemic, English proficiency, educational level, and previous experience were significant factors influencing economists' salaries. After the pandemic, the importance of English proficiency decreased, while specialized computer skills gained prominence. Conclusions: This study highlights the need for continuous adaptation of economists and economics curricula to the changing demands of the post-pandemic labor market.

Dialnet (Universidad de la Rioja)
Openalex Percentile: Top 51%
Astrophysical Phenomena and Observations
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