This article develops a model of the occupational mobility of immigrants and tests the hypotheses using data on males from the Longitudinal Survey of Immigrants to Australia, Panel I. The theoretical model generates hypotheses regarding a U‐shaped pattern of occupational mobility from the “last job” in the origin, to the “first job” in the destination, to subsequent jobs in the destination, and regarding the depth of the “U.” The survey includes data on pre‐immigration occupation, the “first” occupation in Australia (at six months) and the occupation after about three‐and‐a‐half years in Australia. The hypotheses are supported by the empirical analysis.
This paper is concerned with why immigrants appear to have consistently lower partial effects of schooling on earnings than the native born, both across destinations and in different time periods within countries. It uses the Over-Required-Under education approach to occupations, a new decomposition technique developed especially for this approach, and data from the 2000 Census of Population of the United States.Based on the average (mode or mean) level of schooling in their occupation, the schooling of the native and foreign born adult men is divided into the "required" (average) level, and years of under-or over-education. Immigrants have a wider variance in schooling, with an especially large proportion undereducated given the average schooling level in their occupation.Immigrants are shown to receive approximately the same rate of return to the "required" (occupational norm) level of education, but experience a smaller negative effect of years of undereducation, and to a lesser extent a smaller positive effect of overeducation.About two-thirds of the smaller effect of schooling on earnings for immigrants is due to their different payoffs to undereducation and overeducation. The remainder is largely due to their different distribution of years of schooling. The country-of-origin differences in the returns to under-and over-education are consistent with country differences in the international transferability of skills to the US and the favorable selectivity of economic migrants, especially those from countries other than the English-speaking developed countries. The decomposition developed is used to quantify the contribution of favorable selection in immigration and the less-than-perfect international transferability of skills. The results suggest that favorable selection is the more important contributor to the smaller payoff to schooling for immigrants. Moreover, the strong patterns found across countries of origin suggest that the decomposition proposed is robust.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit company supported by Deutsche Post World Net. The center is associated with the University of Bonn and offers a stimulating research environment through its research networks, research support, and visitors and doctoral programs. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public.
Terms of use:
Documents in
D I S C U S S I O N P A P E R S E R I E SIZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.