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...

One of the central concerns in Latin America and the Caribbean (LAC) has been the reduction of poverty and inequality so prevalent in the continent. Using large world samples, the literature has found that financial development increases economic growth, increases the income of the poor, and...

One of the central concerns in Latin America and the Caribbean (LAC) has been the reduction of poverty and inequality so prevalent in the continent. Using large world samples, the literature has found that financial development increases economic growth, increases the income of the poor, and...

This paper analyzes the individual-level determinants of wage inequality for Bolivia, Colombia, and Ecuador from 2001 to 2010. Using a rich annual data set from surveys in all three countries, we analyze wages both using conventional wage regressions and decompositions of standard Gini indices....

In recent years, Bolivia has experienced a series of economic and political transformations that have directly affected the labor markets, particularly the salaried urban sector. Real wages have shown strong increases across the distribution, while also presenting a decrease in inequality. Using...

In this paper we aim to disentangle how sectoral economic growth affects the size of the middle class, using state-level data of Bolivia from 2000 to 2017 and breaking the three main economic activities into subsectors to attain more-specific results. Because the data from Bolivia are limited,...

This article explores the variation in the wage distributions of two Latin American countries, Bolivia and Colombia, which have had different political and economic strategies in recent years. Using data from household surveys, a decomposition of the wage distribution in each country using...

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...

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...