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Dynamics of Employment- and Earnings-Assimilation of First-Generation Immigrant Men in Sweden, 1990-2000

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  • Akay, Alpaslan

    ()
    (Department of Economics, School of Business, Economics and Law, Göteborg University)

Abstract

The employment- and earnings-assimilation of first-generation immigrant men in Sweden was estimated using a dynamic random-e¤ects sample-selection model with eleven waves of unbalanced panel-data during 1990-2000. Endogenous initial values were controlled for using the simple Wooldridge method. Local market unemployment-rates were used as a proxy in order to control for the effect of changing macroeconomic conditions. Significant structural (true) state-dependence was found both on the employment-probabilities and on the earnings of both immigrants and native Swedes. The size of structural state-dependence differed between immigrants and Swedes. Failure to control for the structural state-dependence could have caused bias not only in the assimilation measures but also in the cohort-effects. For example, standard (classic) assimilation model seriously overestimates short-run marginal assimilation-rates and underestimates long-run marginal assimilation- rates. The model controlling for structural state-dependence shows that the earnings of all immigrants in Sweden (except Iraqies) eventually converge to those of native Swedes, but only Nordics and Westerners are able to reach the employment- probability of native Swedes.

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Bibliographic Info

Paper provided by University of Gothenburg, Department of Economics in its series Working Papers in Economics with number 279.

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Length: 45 pages
Date of creation: 05 Dec 2007
Date of revision:
Handle: RePEc:hhs:gunwpe:0279

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Postal: Department of Economics, School of Business, Economics and Law, University of Gothenburg, Box 640, SE 405 30 GÖTEBORG, Sweden
Phone: 031-773 10 00
Web page: http://www.handels.gu.se/econ/
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Keywords: Dynamic random-e¤ects sample-selection model; employment and earnings assimilation; initial values problem; wage-curve method;

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