We investigate whether immigrant and minority workers' poor access to high-wage jobs - that is, glass ceilings - is attributable to poor access to jobs in high-wage firms, a phenomenon we call glass doors. Our analysis uses linked employer-employee data to measure mean- and quantile-wage...

This paper exploits a parametric variant of the Machado-Mata simulation methodology to examine wage distribution differences between native and foreign workers in Luxembourg. Relying on ‘parametric quantile regression’ in place of repeated linear quantile regressions cuts computing time...

We investigate whether immigrant and minority workers' poor access to high-wage jobs---that is, glass ceilings---is attributable to poor access to jobs in high-wage firms, a phenomenon we call glass doors. Our analysis uses linked employer-employee data to measure mean- and quantile-wage...

This paper applies the quantile regression methodology to the study of the determinants of the distribution of earnings among the native born and immigrants in the United States and Australia. The analysis for immigrants is performed separately for those from Englishspeaking and non-English...

We investigate whether immigrant and minority workers’ poor access to high-wage jobs— that is, glass ceilings— is attributable to poor access to jobs in high-wage …rms, a phenomenon we call glass doors. Our analysis uses linked employer-employee data to measure mean- and...

RESUMEN: La existencia de brechas salariales por género es un fenómeno que, al igual que en muchos otros países, está presente en el mercado laboral colombiano. Esas brechas no son homogéneas en todo el territorio, lo que justifica un análisis detallado de lo que ocurre en cada una de las...

We investigate whether immigrant and minority workers’ poor access to high-wage jobs – that is, glass ceilings – is attributable to poor access to jobs in high-wage firms, a phenomenon we call glass doors. Our analysis uses linked employer-employee data to measure mean- and quantile-wage...

In this paper we develop procedures for performing inference in regression models about how potential policy interventions affect the entire marginal distribution of an outcome of interest. These policy interventions consist of either changes in the distribution of covariates related to the...