Economic Development, Female Empowerment, and Structural Violence: Explaining Femicide in Latin America

Femicide is one of the most extreme manifestations of gender-based violence and remains a persistent challenge across Latin America. This study examines the association between socioeconomic and contextual factors and femicide rates across 12 Latin American countries during 2014–2024 using an unbalanced panel dataset. The dependent variable is the femicide rate per 100,000 women, while the explanatory variables include the Gini index, GDP per capita, female labor force participation, and intentional homicide rates. Owing to heteroskedasticity, serial correlation, and contemporaneous dependence across panels, the model was estimated using Panel-Corrected Standard Errors (PCSE) with a common AR(1) disturbance structure. The Gini index was negatively and statistically significantly associated with femicide rates (β = −0.057, p = 0.004), whereas intentional homicide rates showed a positive and statistically significant association (β = 0.059, p < 0.001). GDP per capita retained a negative but non-significant coefficient (β = −0.371, p = 0.076), while female labor force participation was also negative and non-significant (β = −0.008, p = 0.556). These findings indicate that the associations between femicide and socioeconomic conditions are sensitive to model specification, while income inequality and generalized lethal violence remain statistically significant correlates. The results underscore the multidimensional nature of femicide and the need for cautious interpretation of aggregate cross-national associations.