This paper contributes to a large literature concerned with identifying the source of the widening wage gap between high school and college graduates by providing a comprehensive, multidimensional decomposition of wages across both time and educational status. Data from a multitude of sources...

We propose a new methodology for analyzing determinants of the wage gap between immigrants and natives. A Mincerian regression framework is extended to include GDP per capita in an immigrant's country of birth as a proxy for the quality of schooling and work experience acquired in that country....

This paper examines the evolution of female labor market outcomes from 1987 to 2008 by assessing the role of changing labor demand requirements in four developing countries: Brazil, Mexico, India and Thailand. The results highlight the importance of structural change in reducing gender...

This paper contributes to a large literature concerned with identifying the source of the widening wage gap between high school and college graduates by providing a comprehensive, multidimensional decomposition of wages across both time and educational status. Data from a multitude of sources...

This paper deals with the effects of education-job (mis)match on the earnings of higher education graduates in the context of higher education expansion and different phases of the economic cycle in the Czech Republic in 2006-2018. It aims to contribute to knowledge about the effects of...

This paper examines the evolution of female labor market outcomes from 1987 to 2008 by assessing the role of changing labor demand requirements in four developing countries: Brazil, Mexico, India and Thailand. The results highlight the importance of structural change in reducing gender...

We make two contributions to understanding the large shifts in occupational structure seen across developed countries. First, we estimate underlying prices on occupations, grouped by predominant task, using panel data from the UK and Germany. In both countries, price growth is positively...

We use census-like data and a regression discontinuity design to study the labor market impacts of a signal provided by a government-sponsored award given to top-performing students on a nationwide college exit exam in Colombia. Students who can signal their high level of specific skills earn...

This paper uses the task-content-of-occupations framework to analyze trends in employment and wages of female and male workers in the Indian labor market from 1994 to 2017. Workers are classified into four main occupational categories: nonroutine cognitive, routine cognitive, nonroutine manual,...