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 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...

A decline in poverty generally masks regional disparities that are due to varying efficiency among states. Using a generalized true random-effects model, we distinguish between persistent and transient inefficiencies on subnational efficiency to reduce poverty and its determinants in Bolivia....

Job quality can impact workers' productivity and contribute to societal well-being. To analyze the evolution of job quality in Bolivia, this paper employs Bolivian household survey data spanning 2007 to 2021 to construct a synthetic job quality index. The index incorporates a broad definition of...

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...

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...

In this paper we examine the education and occupation mismatch for Hispanics in the US using a novel objective continuous mismatch index and explore the role of immigrants' social networks on this mismatch. We explore whether having a larger social network helps Hispanics in finding jobs that...

Kapteyn and Ypma (Journal of Labour Economics 2007) is an influential study of errors in survey and administrative data on employment earnings. To fit their mixture models, Kapteyn and Ypma assume a specific fraction of their sample have error-free earnings. Using a new UK dataset, we assess the...

Meijer, Rohwedder, and Wansbeek (MRW, Journal of Business & Economic Statistics, 2012) develop methods for prediction of a single earnings figure per worker from mixture factor models fitted using earnings data from multiple linked data sources. MRW apply their method using parameter estimates...