We present the first evidence that international emigrant selection on education and earnings materializes through occupational skills. Combining novel data from a representative Mexican task survey with rich individual-level worker data, we find that Mexican migrants to the United States have...

This paper aims to study the impact of migration on labour supply and time-use of women left behind in Kyrgyzstan. Using the household survey data for 2011, labour supply is measured by occupational choices and working hours. Apart from the labour supply data, this study uses detailed...

This paper investigates the link between family ties and return migration using Danish full population register data. Couples returning from Denmark to the non-Nordic countries are positively selected with respect to income of the primary earner. Positive selection holds for male and female...

Romanian migration is today one of the biggest, complex, and dynamic migration to Western Europe. This paper is a comprehensive review of the existing literature that aims at providing a full picture of this dynamic migratory process and discusses its far-reaching consequences. It first presents...

The unequal distribution of refugees across countries could unravel the international refugee protection system or, in the case of the EU, hinder a common policy response to refugee crises. A way to distribute refugees efficiently, while respecting their rights, is to combine two market...

The effect of immigration on host and origin countries is mediated by the way migrants take their labor supply decisions. We propose a simple way of integrating the traditional random utility maximization model used to analyze location decisions with a classical labor demand function at...

I investigate the effect of attitudes toward migrants on the average skill composition of immigrants in destination countries. A model is presented showing that negative attitudes toward migrants can reduce the average skill composition. The intuition for the result is that the highly skilled...