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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. Terms of use: Documents in University of Tübingen ANNE STEINBACHER ♯ University of Tübingen May 2012Abstract This paper analyzes the role of ethnic communities in shaping the recent immigration boom to Spain. We find that ethnic communities exerted a strong positive effect on the scale and a strong negative effect on the skill structure of this immigration. Unlike previous studies, we explicitly acknowledge similarities among final migration destinations and thus partly relax the independence of irrelevant alternatives assumption. We strengthen our causal interpretation by controlling for observed and unobserved heterogeneity in bilateral migration costs, and by adopting an instrumental variables approach. Our results suggest that previous estimates of the scale effect are upward-biased by approximately 50%.

Purpose -The purpose of this paper is to break down south-north migration along both the skill and the occupational dimension and thus to distinguish and compare several types of south-north migration and brain drain. Design/methodology/approach -This paper presents south-north migration rates by occupational category at two distinct levels of disaggregation according to International Standard Classification of Occupations 1988 (ISCO-88). The data sets combine information about the labor market outcomes of immigrants in Organisation for Economic Co-Operation and Development (OECD) countries around the year 2000 provided by the Database on Immigrants in OECD Countries by the OECD with employment data for the developing migrant-sending countries from the International Labour Organization. Findings -The incidence of south-north migration was highest among Professionals, one of the two occupational categories generally requiring tertiary education, and among clerks and legislators, senior officials and managers. At the more disaggregated level, physical, mathematical and engineering science (associate) professionals, life science and health (associate) professionals, as well as other (associate) professionals exhibited significantly larger brain drain rates than teaching (associate) professionals. The data also suggest non-negligible occupation-education mismatches due to the imperfect transferability of skills acquired through formal education because south-north migrants with a university degree worked more often in occupational categories requiring less than tertiary education compared to OECD natives. The employment shares of most types of professionals and technicians and associate professionals, as well as of clerks and corporate managers were significantly smaller in the migrant-sending countries compared to the receiving countries. Originality/value -The constructed data sets constitute the first comprehensive data sets on south-north migration by ISCO-88 major and sub-major occupational category for cross-sections of, respectively, 91 and 17 developing countries of emigration.

We offer fresh evidence on the effect of migrant networks on two essential aspects of migration: (1) the total scale of migration and (2) the skill composition of migration. Our analysis is for the remarkable case of Spain, which experienced a full‐blown immigration boom from the mid‐1990s up to the Global Financial Crisis. To accommodate flexible substitution patterns across alternative migrant destinations, we use a three‐level nested multinomial logit model. We find a strong positive network effect on the scale of migration and a strong negative effect on the ratio of high‐skilled to low‐skilled migrants. Simplifying restrictions on the structure of cross‐destination substitutability are rejected by the data. (JEL F22, J61)