This paper examines whether the results of the earnings equation developed in the overeducation/required eduation/under-education (ORU) literature are sensitive to whether the usual or reference levels of education are measured using the Realized Matches or Worker Self-Assessment methods. The...

The payoff to schooling among the foreign born in the US is only around one-half of the payoff for the native born. This paper examines whether this differential is related to the quality of the schooling immigrants acquired abroad. The paper uses the Over-education/ Required...

This article uses micro-data from the Spanish National Immigrant Survey to investigate the impact of Spanish language proficiency on immigrants' earnings. The results, based on Instrumental Variables (IV), point to a substantial earnings return to Spanish proficiency, of approximately 27%. This...

This paper examines the difference between the payoffs to schooling for immigrants and the native born in Canada, using 2001 Census data. Analyses are presented for males and females. Comparisons are offered with findings for the US. The paper uses the Overeducation/Required...

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 investigates the transferability of human capital across countries and the contribution of imperfect human capital portability to the explanation of the immigrant-native wage gap. Using data for West Germany, our results reveal that, overall, education and labor market experience...

This paper uses linked Swiss administrative and survey data to examine the relationship between educational mismatch in the labour market and emigration decisions, carrying out the analysis for both Swiss native and previous immigrant workers. In turn, migrants' decisions separate returning home...