In this paper we use a large official employer-employee dataset, which includes almost the whole universe of business firms, to document and decompose the rising graduates postgraduates' wage differentials in Portugal. Using a non-parametric matching exercise, we pay particular attention to...

The public sector plays a large role in many developing economies, but its effect on earnings inequality dynamics has not been widely studied. In this paper, we investigate the earnings inequality trends and their determinants in the decades before and after the Tunisian Revolution, focusing on...

We examine the phenomenon of forsaken schooling resulting from opportunities abroad. The brain-drain/gain literature takes as its starting point the migration of educated/professional labor from poor origin countries to richer host countries. While high-skilled emigration is troubling, even more...

This paper explores the impact of fiscal and labor market policies on efficiency, inequality, and fiscal outcomes in France. We extend the general equilibrium model calibrated for France by Alla and others (2015), with measures of labor and capital income for different groups in the economy (the...

We propose a model of "trade" between high income and low-income groups where the rich being scared of the spread of infection hires the poor to engage them in exposure-intensive outdoor activities as workers in the household industry. People who endure hardships and sustain exposure to...

This paper uses a life-cycle framework to document new stylized facts about the nexus between job polarization and earnings inequality. Using quarterly labor force data for the UK over the period 2000-2018, we find clear life-cycle profiles in the probability of being employed within each...

This paper discusses how the structure of the tax system affects its progressivity. It suggests a measure of progressive capacity of tax systems, based on the Kakwani index, but independent of pre-tax income distributions. Using this and other progressivity measures, the paper (i) documents a...

OLS models are the predominant choice for poverty predictions in a variety of contexts such as proxy-means tests, poverty mapping or cross-survey imputations. This paper compares the performance of econometric and machine learning models in predicting poverty using alternative objective...