This paper is concerned with trends over the post-WWII period in the employment of American Jews as College and University teachers and in their receipt of the PhD. The empirical analysis is for PhD production from 1950 to 2004 and Jews are identified by the Distinctive Jewish Name (DJN)...

This paper is concerned with trends over the post-WWII period in the employment of American Jews as College and University teachers and in their receipt of the PhD. The empirical analysis is for PhD production from 1950 to 2004 and Jews are identified by the Distinctive Jewish Name (DJN)...

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...

This paper explores the impact of English language proficiency and country of origin on the occupational choice of high-skilled immigrants in the U.S. using the 2000 Census. The findings reveal that high-skilled immigrants with limited proficiency in English, or whose mother tongue is...

This paper reviews Jacob Mincer’s contributions to the analyses of earnings and the distribution of earnings through his pioneering focus on labor market experience or on-the-job training. It begins with a brief discussion of the theoretical literature on the distribution of earnings in the...

This paper analyzes the effects of language practice on earnings among adult male immigrants in Canada using the 1991 Census. Earnings are shown to increase with schooling, pre-immigration experience and duration in Canada, as well as with proficiency in the official languages (English and...

This paper is an analysis of the English-language proficiency and labor market earnings of Soviet Jewish immigrants to the United States from 1965 to 2000, using the 2000 Census of Population. Comparisons are made to similar analyses using the 1980 and 1990 Censuses. A consistent finding is that...