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...

A large fraction of the variance in aggregate crime rates cannot be explained by observable socioeconomic conditions. Social determinants of crime may drive the unexplained variation, but economic models of social influence so far emphasize the intensity of criminal effort, not the decision of...

In a span of six years, the proportion of Venezuelans in Perú has surged nearly fourfold, rising from virtually zero to over 4% of the population. This study delves into the dynamics of medium- and long-term labor market integration in Perú, combining data from the Venezuelan Population...

This paper proposes a method to analyze interval-censored data, using multiple imputation based on a heteroskedastic interval regression approach. The proposed model aims to obtain a synthetic data set that can be used for standard analysis, including standard linear regression, quantile...

Developing countries face significant challenges in increasing women's labor force participation and improving job quality, partly due to the substantial presence of the informal sector. This paper examines the case of Bolivia, which has the highest level of informality in Latin America. We...

This paper proposes a new method to estimate quantile regressions with multiple fixed effects. The method, which expands on the strategy proposed by Machado and Santos Silva (2019), allows for the inclusion of multiple fixed effects and provides various alternatives for estimating standard...

The recent global increases in fuel prices threaten the gains in poverty reduction that countries like Paraguay have achieved over the past few decades. Therefore, policy makers must understand the potential distributional impacts of increases in fuel prices to evaluate the implementation of...

This paper proposes a method to analyze interval-censored data, using multiple imputation based on a heteroskedastic interval regression approach. The proposed model aims to obtain a synthetic data set that can be used for standard analysis, including standard linear regression, quantile...