Inequality and the self-selection of international migrants: theory and new evidence
AbstractPurpose – The paper seeks to analyse the self-selection of international migrants on observable skills. Design/methodology/approach – Based on an extended version of the Roy model, which considers random migration costs, the authors analyse the self-selection of migrants on observable skills empirically. For this purpose, the authors employ a new panel data set on the educational attainment of migrants, which covers migration from 143 sending countries into the six main receiving countries in the OECD from 1975 to 2000. Findings – Migrants tend to be positively self-selected on observable skills, although the inequality in earnings is larger in the sending country relative to the destination countries. The estimation results indicate that a higher inequality in the distribution of earnings in both the receiving and the sending country affects the skill bias of the migrant population favourably. Moreover, higher migration costs and selective immigration policies increase the skill level of migrants relative to those of stayers in the sending countries. Research limitations/implications – The results may be affected by measurement error, since it was necessary to approximate the returns to education by measures for the inequality of earnings. Practical implications – The paper provides, inter alia, insights as to how immigration and other policies affect the self-selection of migrants on observable skills, which may be relevant for policy makers. Originality/value – To the authors' knowledge, this is the first paper to analyse the self-selection of migrants on the basis of a panel data set.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Emerald Group Publishing in its journal International Journal of Manpower.
Volume (Year): 30 (2009)
Issue (Month): 7 (November)
Contact details of provider:
Web page: http://www.emeraldinsight.com
Postal: Emerald Group Publishing, Howard House, Wagon Lane, Bingley, BD16 1WA, UK
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Nifo, Annamaria & Pagnotta, Stefano & Scalera, Domenico, 2011.
"The best and brightest. Selezione positiva e brain drain nelle migrazioni interne italiane
[The best and brightest. Positive selection and brain drain in Italian internal migrations]," MPRA Paper 34506, University Library of Munich, Germany.
- Kahanec, Martin, 2012. "Report No. 49: Skilled Labor Flows: Lessons from the European Union," IZA Research Reports 49, Institute for the Study of Labor (IZA).
- Peter Huber & Julia Bock-Schappelwein, 2013. "The Impact of Migration Policy on Migrants’ Education Structure: Evidence from Austrian Policy Reform," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 1, pages 1-21, March.
- Jeffrey Grogger & Gordon H. Hanson, 2008.
"Income Maximization and the Selection and Sorting of International Migrants,"
NBER Working Papers
13821, National Bureau of Economic Research, Inc.
- Grogger, Jeffrey & Hanson, Gordon H., 2011. "Income maximization and the selection and sorting of international migrants," Journal of Development Economics, Elsevier, vol. 95(1), pages 42-57, May.
- Petr Huber & Julia Bock-Schappelwein, 2013. "The Impact of Migration Policy on Migrants' Education Structure: Evidence from an Austrian Policy Reform," MENDELU Working Papers in Business and Economics 2013-35, Mendel University in Brno, Faculty of Business and Economics.
- Martin Kahanec, 2013. "Skilled Labor Flows: Lessons from the European Union," Research Reports 1, Central European Labour Studies Institute (CELSI).
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Virginia Chapman).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.