The Paradox of overeducation: Is Educational Mismatch a Driver of Poverty in the Ecuadorian Labor Market?
DOI:
https://doi.org/10.18779/csye.v10i2.1299Keywords:
educational mismatch, poverty, labor market, human capital, EcuadorAbstract
Educational mismatch has been widely studied for its effects on income; however, its relationship with poverty remains limited, particularly in economies with segmented labor markets. This study analyzes the impact of overeducation and undereducation on the probability of poverty in Ecuador. Microdata from the 2025 ENEMDU are used, and a Logit model is estimated, controlling for sociodemographic characteristics, human capital, and structural factors of the labor market. The results show that educational mismatches have a significant and asymmetric effect on poverty. Overeducation increases the risk of poverty, revealing the underutilization of human capital, whereas undereducation is associated with a lower probability of poverty. Likewise, formality and firm size substantially reduce this risk. The study concludes that education alone is not a sufficient mechanism for economic mobility. Its effect depends on the labor market’s capacity to adequately absorb human capital, which implies the need to complement educational policies with strategies aimed at strengthening labor demand.
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References
Banco Mundial. (2019). Informe sobre el desarrollo mundial 2019: La naturaleza Cambiante del trabajo. Washington DC: Banco Mundial. Recuperado el 01 de Enero de 2026, de https://www.worldbank.org/en/publication/wdr2019
Banco Mundial. (2021). Jobs Diagnostic Ecuador: Evaluación del mercado laboral y sus desafíos. Washington DC: Banco Mundial.
Battu, H. y Bender, K. A. (2020). Educational mismatch in developing countries: A review of the existing evidence. En S. Bradley. y C. Green (Eds.), The economics of education: A comprehensive overwiew (2a ed., pp. 269-289). Academic Press. doi:https://doi.org/10.1016/B978-0-12-815391-8.00020-3
Comisión Económica para América Latina y el Caribe. (2022). Panorama Social de América Latina y el Caribe 2022: la transformación de la educación como base para el desarrollo sostenible. Recuperado el 15 de Enero de 2026, de https://hdl.handle.net/11362/48518
Cervantes, C. V. y Cooper, R. (2022). Labor market implications of education mismatch. European Economic Review,, 148, 104179. https://doi.org/10.3386/w28169
De Santis, M. O., Gáname, M. C. y Moncarz, P. E. (2022). The impact of overeducation on wages of recent economic sciences graduates. Social Indicators Research, 163(1), 409-445. https://doi.org/10.1007/s11205-022-02905-w
Deléchat, C. y Medina, L. (2021). The Global Informal Workforce: Priorities for Inclusive Growth.. International Monetary Fund. https://doi.org/10.5089/9781513575919.071
European Training Foundation. (2024). Determinants and wage penalty of skills mismatch: A cross country analysis.
Filmer, D., Langthaler, M., Stehrer, R. y Vogel, T. (2018). Learning to realize education’s promise. World Development Report. The World Bank. https://doi.org/10.1596/978-1-4648-1097-8
Gujarati, D. N. (2009). Basic econometrics. McGraw-Hill/Irwin.
Hartog, J. (2000). Over-education and earnings: where are we, where should we go? Economics of education review, 19(2), 131-147.
Huertas, I. P. y Raymond, J. L. (2024). Education, educational mismatch and occupational status: an analysis using PIAAC data. Economía Política, 41(3), 717-738. https://doi.org/10.1007/s40888-024-00328-z
Instituto Nacional de Estadísticas y Censos. (2026). Encuesta Nacional de Empleo, Subempleo y Desempleo (ENEMDU). https://www.ecuadorencifras.gob.ec/enemdu-2025/
International Labour Organization. (2023). Education and Mismatch Indicators (EMI database). https://bit.ly/4bXRMDM
Internationla Labour Organization. (2023). ILOSTAT - Statistics on the informal economy. https://ilostat.ilo.org/topics/informality/
Iriondo, I. (2022). Determinants and wage effects of educational mismatch in Spain. Educación XX1, 25(1), 219-249. https://doi.org/10.5944/educXX1.30580
Martínez, M., Ángel-Urdinola, D., Rodón, G. y Caycedo, J. (2023). Nuevo programa de educación terciaria y competencias prepara a jóvenes y adultos para el futuro del trabajo y la sociedad. Banco Mundial. https://bit.ly/40MUvty
Neter, J., Kutner, M. H., Nachtsheim, C. J. y Wasserman, W. (1996). Applied linear statistical models.
Organization for Economic Co-operation and Development . (2023). Education at a Glance 2023: OECD indicators. Paris: OECD Publishing. https://doi.org/10.1787/e13bef63-en
Ohnsorge, F. y Yu, S. (2021). The long shadow of informality. World Bank Group. https://doi.org/10.1596/978-1-4648-1753-3
Pérez, E. S. y Orjuela, A. V. (2024). Efectos del desajuste educativo sobre los salarios de los jóvenes de 18 a 28 años: análisis en países de la Comunidad Andina. Cuadernos de economía (Santafé de Bogotá), 43(91), 297-326. https://10.0.60.86/cuadernos.v43n91.101288
Psacharopoulos, G. y Patrinos, H. A. (2018). Returns to investment in education: a decennial review of the global literature. Education Economics, 26(5), 445-458. https://doi.org/10.1080/09645292.2018.1484426
Sahnoun, M. y Abdennadher, C. (2022). Returns to investment in education in the OECD countries: Does governance quality matter? Journal of the Knowledge Economy, 13(3), 1891-1842. https://doi.org/10.1007/s13132-021-00783-0
Samaan, D., Ernst, E., Horne, R., Kühn, S. y Gomis, R. (2023). World employment and social outlook: trends 2023. Geneva: ILO. https://doi.org/10.54394/SNCP1637
Stromquist, N. P. (2019). World Development Report 2019: The changing nature of work: By the World Bank. Washington, DC: World Bank. doi:10.1596/978-1-4648-1328-3
World Bank, UNESCO y International Labour Organization. (2023). Building better formal TVET systems: principles and practice in low- and middle- income countries. https://doi.org/10.54675/RVDM3811
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