Depreciation of Human Capital in Mexico: evidence by gender and Technology-Intensive sectors, 2005–2024
DOI:
https://doi.org/10.24275/Keywords:
Human capital, Work experience, Gender, Technology, Wage returnsAbstract
The study analyzes the depreciation of human capital in Mexico between 2005 and 2024, using ENOE microdata and extended Mincer equations estimated through robust MM regressions. Three main hypotheses are confirmed: the returns to experience have steadily declined (from 3% in 2005 to 1.6% in 2024); depreciation is faster in technology-research and developement intensive sectors, where skill obsolescence reduces labor profitability; and women, despite achieving higer educational leveles, obtain lower returns to experience, particularly in technological enviroments. Salary simulations show that the gender gap widens as work experience increases. Overall, the results reveal a growing inequality in human capital valuation and highlight the need for continuos training and wage-equity policies in response to technological change.
JEL Classification: J24, J31, O33, I26.
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Acemoglu, D. y Autor, D. (2010). Chapter 12 - Skills, tasks and technologies: Implications for employment and earnings. En D. Card y O. Ashenfelter (Eds.), Handbook of labor economics (Vol. 4, Part B, pp. 1043-1171). North Holland. https://doi.org/10.1016/S0169-7218(11)02410-5
Angrist, J. D. y Pischke, J. S. (2009). Mostly harmless econometrics: An empiricist’s companion. Princeton University Press.
Arrazola, M. y Hevia, J. (2003). Medición del capital humano y análisis de su rendimiento. Papeles de trabajo del Instituto de Estudios Fiscales, (22), 3-25. https://dialnet.unirioja.es/servlet/articulo?codigo=871044
Becker, G. S. (1962). Investment in human capital: A theoretical analysis. The Journal of Political Economy, 70(5), 9-49.
Becker, G. S. (1993). Human capital: A theoretical and empirical analysis with special reference to education. University of Chicago Press.
Blau, F. D. y Kahn, L. M. (2017). The gender wage gap: Extent, trends, and explanations. Journal of Economic Literature, 55(3), 789-865. https://doi.org/10.1257/jel.20160995
Braverman, H. (1974). Labor and monopoly capital: The degradation of work in the twentieth century. Monthly Review, 26(3), 1-64. https://doi.org/10.14452/MR-026-03-1974-07
Campos-Vazquez, R. M. y Lustig, N. (2017). Labour income inequality in Mexico. Puzzles solved and unsolved. WIDER Working Paper, 1-37. https://doi.org/10.35188/UNU-WIDER/2017/412-4
Castillo, A. (2015). Retornos y depreciación del capital humano, un análisis empírico para México durante 2011-2014. En XIV Concurso Nacional de Ponencias Jesús Antonio Bejarano (pp. 1-30). Federación Nacional de Estudiantes de Economía (FENADECO). https://doi.org/10.13140/RG.2.1.3168.0720/1
Castillo-Aroca, A. (2016). Depreciación del capital humano en la Alianza del Pacífico durante 2007-2014. Ciencias Económicas, 34(1), 9-46. https://doi.org/10.15517/rce.v34i1.24498
De Grip, A. y Van Loo, J. (2002). The economics of skills obsolescence: A review. En A. De Grip, J. Van Loo y K. Mayhew (Eds.), The economics of skills obsolescence: Theoretical innovation and empirical applications (pp. 1-26). Elsevier Science. https://doi.org/10.1016/S0147-9121(02)21003-1
Dubin, S. (1972). Obsolescence or lifelong education. American Psychologist, 27(5), 486-498. https://psycnet.apa.org/doi/10.1037/h0033050
England, P., Farkas, G., Stanek, B. y Thomas, D. (1988). Explaining occupational sex segregation and wages: Findings from a model with fixed effects. American Sociological Review, 53(4), 544-558. https://doi.org/10.2307/2095848
Galindo-Rueda, F. y Verger, F. (2016). OECD taxonomy of economic activities based on R&D intensity (OECD Science, Technology and Industry Working Papers, No. 2016/04). OECD Publishing. https://dx.doi.org/10.1787/5jlv73sqqp8r-en
Ge, S. y Zhou, Y. (2020). Robots, computers, and the gender wage gap. Journal of Economic Behavior and Organization, 178, 194-222. https://doi.org/10.1016/j.jebo.2020.07.014
Goldin, C. y Katz, L. F. (2008). The race between education and technology. En C. Goldin y L. F. Katz (Eds.), The race between education and technology (pp. 287-323). Harvard University Press. https://doi.org/10.2307/j.ctvjf9x5x.11
Grigera, J. y Nava, A. (2021). El futuro del trabajo en América Latina: crisis, cambio tecnológico y control. El Trimestre Económico, 88(4), 1011-1042. https://doi.org/10.20430/ete.v88i352.1242
Heckman, J. J., Lochner, L. J. y Todd, P. E. (2006). Chapter 7. Earnings functions, rates of returns and treatment effects: The Mincer equation and beyond. En E. Hanushek y W. Finis (Eds.), Handbook of the economics of education (pp. 307-458). North-Holland. https://doi.org/10.1016/S1574-0692(06)01007-5
Hernanz, V. y Jimeno, J. F. (2018). Inestabilidad laboral en el empleo, duración del desempleo y depreciación del capital humano. Cuadernos Económicos de ICE, (95), 35-56. https://doi.org/10.32796/cice.2018.95.6641
Huber, G., Ocegueda, M. T. y Pimienta, R. B. (2024). Educación y desigualdad salarial por género en México. En J. M. Hernández, N. R. Angulo y R. V. Llamas (Eds.), El papel de la educación en el desarrollo económico y social de México (pp. 91-124). Ediciones del Lirio. https://www.researchgate.net/publication/378872486_Educacion_y_desigualdad_salarial_por_genero_en_Mexico
Kunze, A. (2002). The timing of careers and human capital depreciation. IZA Discussion Paper Series, (509), 1-39. https://hdl.handle.net/10419/21432
Lentini, V. y Gimenez, G. (2019). Depreciation of human capital: a sectoral analysis in OECD countries. International Journal of Manpower, 40(7), 1254-1272. https://doi.org/10.1108/IJM-07-2018-0207
Londoño-Restrepo, S. H., Sepúlveda-Aguirre, J., Echeverry-Gutiérrez, C. A. y Garcés-Giraldo, L. F. (2018). Cambio tecnológico y capital humano: Contrapeso entre evolución y depreciación. Revista Venezolana de Gerencia, 23(81), 180-201. https://www.redalyc.org/articulo.oa?id=29055767011
Martínez-Gutiérrez, B. M. (2012). Efectos de depreciación en el capital humano: evidencia empírica por nivel de cualificación y ramas de actividad en Colombia. Universidad del Valle. https://hdl.handle.net/10893/3737
Mincer, J. (1974). Schooling, experience and earnings. National Bureau of Economic Research (NBER). https://www.nber.org/books-and-chapters/schooling-experience-and-earnings
Mincer, J. y Ofek, H. (1982). Interrupted work careers: Depreciation and restoration of human capital. The Journal of Human Resources, 17(1), 3-24. https://doi.org/10.2307/145520
Mincer, J. y Polachek, S. (1974). Family investments in human capital: Earnings of women. Journal of Political Economy, 82(2), S76-S108. https://doi.org/10.1086/260293
Murillo, I. (2006). Depreciación del capital humano: una aproximación por sectores, por ocupación y en el tiempo. En XIII Encuentro de Economía Pública (p. 21). Universidad de Almería. https://dialnet.unirioja.es/servlet/articulo?codigo=3132358
Murillo, I. P. (2011). Human capital obsolescence: some evidence for Spain. International Journal of Manpower, 34(4), 426-445. https://doi.org/10.1108/01437721111148540
Neuman, S. y Weiss, A. (1995). On the effects of schooling vintage on experience-earnings profiles: Theory and evidence. European Economic Review, 39(5), 943-955. https://doi.org/10.1016/0014-2921(94)00019-V
Ocegueda, M. T., Huber, G. y Pimienta, R. B. (2024). Educación, experiencia laboral y desigualdad salarial por género entre las regiones de México. En J. M. Ocegueda Hernández y R. Varela Llamas (Eds.), La economía mexicana desde una perspectiva regional (pp. 105-132). Ediciones Del Lirio.
Orozco, M. (2023). Misallocation of resources, firm characteristics, and structural factors: Evidence from Mexico (Documento de Investigación). Banco de México. https://www.banxico.org.mx/publications-andpress/banco-de-mexico-working-papers/%7B9B399341-66BC-7D37-0EEE-26EFEF34FAAC%7D.pdf
Pieters, J., Kujundzic, A., Burger, R. y Gondwe, J. (2025). Inequality at risk automation? Gender differences in routine tasks intensity in developing country labor markets. En R. Albrieu (Ed.), Cracking the future of work: Automation and labor platforms in the global south (pp. 82-147). CIPPEC. https://doi.org/10.48550/arXiv.2504.07689
Rodríguez Pérez, R. E. y Castro Lugo, D. (2012). Efectos del cambio tecnológico en los mercados de trabajo regionales en México. Estudios Fronterizos, 13(26), 141-174. https://doi.org/10.21670/ref.2012.26.a06
Sandell, S. H. y Shapiro, D. (1978). An exchange: The theory of human capital and the earnings of women: A reexamination of the evidence. The Journal of Human Resources, 13(1), 103-117. https://doi.org/10.2307/145304
Schultz, T. W. (1961). Investment in human capital. The American Economic Review, 51(1), 1-17. https://www.jstor.org/stable/1818907
Simón, N. (2020). Cambio tecnológico y el mercado laboral. Aportes para la identificación de las ocupaciones emergentes en Colombia. Comisión Económica para América Latina y el Caribe (CEPAL). https://www.cepal.org/es/publicaciones/46655-cambio-tecnologico-mercado-laboral-aportes-laidentificacion-ocupaciones
van Loo, J., de Grip, A. y de Steur, M. (2001). Skills obsolescence: causes and cures. International Journal of Manpower, 22(1-2), 121-138. https://doi.org/10.1108/01437720110386430
Vázquez-López, R. (2013). Heterogeneidad estructural y sus determinantes en la manufactura mexicana, 1994-2008. Revista CEPAL, (111), 125-141. https://repositorio.cepal.org/server/api/core/bitstreams/65a4dda1-3016-45d8-91f7-b3e7cfe267cc/content
Vignoli, G. (2012). Tasa de depreciación de capital humano: Evidencia empírica para Argentina (Serie Documentos de Trabajo, No. 498). Universidad del Centro de Estudios Macroeconómicos de Argentina (UCEMA). https://ucema.edu.ar/publicaciones/download/documentos/498.pdf
Walter, S. y Lee, J. D. (2025). How susceptible are skills to obsolescence? A task-based perspective of human capital depreciation. Foresight and STI Governance, 16(2), 32-41. https://doi.org/10.17323/2500-2597.2022.2.32.41
Weber, S. (2014). Human capital depreciation and education level. International Journal of Manpower, 35(5), 613-642.
Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data. The MIT Press. https://ipcid.org/evaluation/apoio/Wooldridge%20-%20Cross-section%20and%20Panel%20Data.pdf
Yohai, V. J. (1987). High breakdown-point and high efficiency robust estimates for regression. The Annals of Statistics, 15(2), 642-656. https://doi.org/10.1214/aos/1176350366
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