Employment Condition and Educational Attainment in Honduras (2013-2023)

Abstract

This study analyzes the relationship between educational attainment and the labor force status of the Honduran population between 2013 and 2023. Using a quantitative approach and data from the Permanent Multipurpose Household Survey (EPHPM), a multinomial logistic regression model was applied to estimate the probability of being employed, unemployed, or inactive, based on variables such as education level, gender, geographic domain, and age group. The results showed that higher educational levels are associated with a greater likelihood of being employed and a lower probability of being inactive. However, the analysis confirmed that, despite having high levels of schooling, women continue to face structural barriers to labor market entry, and that rural areas offer fewer benefits in terms of labor market integration compared to the opportunities available in urban contexts. The study concludes that, while education contributes to expanding access to employment opportunities, it remains insufficient to overcome structural disparities related to gender and geographic domain.