Determinants of Female Unemployment Duration in Chile’s Regions: Evidence from the National Employment Survey, 2016–2026
DOI:
https://doi.org/10.22370/pe.2026.20.5952Keywords:
nationality gap, labor market overqualification, regional heterogeneity, AFT duration models, Oaxaca-Blinder decompositionAbstract
This article combines three complementary econometric strategies —Ordinary Least Squares (OLS), an accelerated failure time (AFT) duration model, and an Oaxaca Blinder decomposition— to estimate the determinants of female unemployment duration in Chile’s regions between 2016 and 2026, using microdata from the National Employment Survey (n=62,107). The OLS model, with a cubic age specification and robust inference via Bootstrap and the Wald test, is estimated pooled, by region, and by year. Nationality is the factor with the greatest substantive incidence: Chilean women remain unemployed 1.47 months longer than foreign women, an effect significant in 11 of 16 regions. The study also documents an overqualification paradox and a cubic age pattern. As a central robustness check, the results are replicated using a log-normal AFT model, which confirms the sign and significance of the findings and estimates that Chilean women have an expected unemployment duration 21.7% longer than foreign women. An Oaxaca-Blinder decomposition further shows that only 14.8% of this gap is explained by observable differences between the two groups, while 85.2% remains unexplained by endowments.
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References
Banco Central de Chile. (2024). Informe de Inclusión Financiera y Migración. Banco Central de Chile.
CAMERON, A. C., & MILLER, D. L. (2015). A Practitioner’s Guide to Cluster-Robust Inference. Journal of Human Resources, 50 (2), 317-372. https://doi.org/10.3368/jhr.50.2.317.
Comisión Económica para América Latina y el Caribe (CEPAL). (2024). Panorama Social de América Latina y el Caribe, 2023: La Inclusión Laboral como Eje Central para el Desarrollo Social Inclusivo. CEPAL.
FICA, J., & LAGOS, F. (2024). Bootstrap en Econometría Aplicada: Guía para Chile. Universidad del Bío-Bío.
Instituto Nacional de Estadísticas (INE). (2023). Boletín Estadístico: Empleo Trimestral. INE.
Instituto Nacional de Estadísticas (INE). (2024). Boletín Estadístico: Empleo Trimestral. INE.
Instituto Nacional de Estadísticas (INE). (2026). Boletín Estadístico: Empleo Trimestral, Enero-Marzo 2026. INE.
KIEFER, N. M. (1988). Economic Duration Data and Hazard Functions. Journal of Economic Literature, 26 (2), 646-679. https://ideas.repec.org/a/aea/jeclit/v26y1988i2p646-79.html
LANCASTER, T. (1990). The Econometric Analysis of Transition Data. Cambridge: Cambridge University Press. https://doi.org/10.1017/CCOL0521265967
MANKIW, N. G. (2009). Principios de Economía. Editorial Paraninfo S.A.
Ministerio de Desarrollo Social y Familia. (2024). Encuesta de Caracterización Socioeconómica Nacional (CASEN 2024): Resultados. Ministerio de Desarrollo Social y Familia.
Ministerio de la Mujer y Equidad de Género. (2025). Evaluación de Impacto: Ley de Cuidados. Ministerio de la Mujer y Equidad de Género.
Organisation for Economic Co-operation and Development (OECD). (2025a). Economic Surveys: Chile 2025. OECD Publishing.
Organisation for Economic Co-operation and Development (OECD). (2025b). Regional Development Policy in Chile. OECD Publishing.
Organización Internacional del Trabajo (OIT). (2025a). World Employment and Social Outlook: Trends 2025. OIT.
Organización Internacional del Trabajo (OIT). (2025b). Panorama Laboral 2024 de América Latina y el Caribe. OIT.
Superintendencia de Seguridad Social (SUSESO). (2023). Informe de Licencias Médicas y Riesgos Psicosociales. SUSESO.
VERBANAZ, S. A. (2019). Los Efectos de la Automatización sobre el Trabajo. Biblioteca del Congreso Nacional de Chile.
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