Using a panel dataset from 1980 to 2000 this paper analyzes the determinants of income inequality in Latin American countries with special attention paid to education, health, and social security expenditures. I build on previous research by solving for the endogeneity of the social spending...

Protected areas are a popular policy instrument in the global fight against loss of biodiversity and ecosystem services. However, the effectiveness of protected areas in preventing deforestation, and their impacts on poverty, are not well understood. Recent studies have found that Bolivia's...

Average treatment effects estimands can present significant bias under the presence of outliers. Moreover, outliers can be particularly hard to detect, creating bias and inconsistency in the semi-parametric ATE estimads. In this paper, we use Monte Carlo simulations to demonstrate that...

By reallocating aid to where it is needed most and where a productive use is most likely, donors could help alleviate poverty in developing countries. The rhetoric of donors suggests that this insight has increasingly shaped the allocation of aid. However, we find little evidence supporting the...

Outliers can be particularly hard to detect, creating bias and inconsistency in the semi-parametric estimates. In this paper, we use Monte Carlo simulations to demonstrate that semi-parametric methods, such as matching, are biased in the presence of outliers. Bad and good leverage point outliers...

This paper examines the impact of severe wildfire events on Bolivia's poverty and labor market outcomes. We use a panel from 2005 to 2020 utilizing NASA's MODIS Collection-6 MCD64A1 burned area product and household surveys. To attain survey representativeness at a lower geographical level, we...

Average treatment effects estimands can present significant bias under the presence of outliers. Moreover, outliers can be particularly hard to detect, creating bias and inconsistency in the semi-parametric ATE estimands. In this paper, we use Monte Carlo simulations to demonstrate that...