This paper explores the relationship between openness to trade, immigration, and income per person across countries. To address endogeneity concerns we extend the instrumental-variables strategy introduced by Frankel and Romer (1999). We build predictors of openness to immigration and to trade...

Two large but separate bodies of literature analyze the economic effects of international trade and immigration. Given that several factors are important determinants of both trade and migration flows, the previous studies are vulnerable to a potentially serious omitted-variables bias,...

This paper makes two contributions to the literature on the determinants of international migration flows. First, we compile a new dataset on annual bilateral migration flows covering 15 OECD destination countries and 120 sending countries for the period 1980-2006. We also collect data on...

The labor market performance of immigrants relative to natives has been widely studied but its gender dimension has been relatively neglected. Our paper aims at revisiting labor market convergence between immigrants and natives and examining this under-studied dimension in a comprehensive study...

This paper makes two contributions to the literature on the determinants of international migration flows. First, we compile a new dataset on annual bilateral migration flows covering 15 OECD destination countries and 120 sending countries for the period 1980-2006. We also collect data on...

This paper explores the relationship between openness to trade, immigration, and income per person across countries. To address endogeneity concerns we extend the instrumental-variables strategy introduced by Frankel and Romer (1999). We build predictors of openness to immigration and to trade...

Two large but separate bodies of literature analyze the economic effects of international trade and immigration. Given that several factors are important determinants of both trade and migration flows, the previous studies are vulnerable to a potentially serious omitted-variables bias,...