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Identification and Estimation of the Economic Performance of Outmigrants using Panel Attrition

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  • Charles Bellemare

Abstract

This paper presents conditions providing semiparametric identification of the conditional expectation of economic outcomes characterizing outmigrants using data on immigrant sample attrition. The approach does not require that individual immigrant departures be observed. Outcomes of interest are labor market earnings, labor force participation, and labor supply. We present a panel model which extracts the information on outmigrant performance from sample attrition and estimate it using German data. We find strong evidence of self-selection of outmigrants based on unobserved individual characteristics. Simulations are performed to quantify the gap in labor market earnings and labor force participation rates between immigrant stayers and outmigrants.

Suggested Citation

  • Charles Bellemare, 2004. "Identification and Estimation of the Economic Performance of Outmigrants using Panel Attrition," Cahiers de recherche 0429, CIRPEE.
    • Handle: RePEc:lvl:lacicr:0429
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    File URL: http://www.cirpee.org/fileadmin/documents/Cahiers_2004/CIRPEE04-29.pdf
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    Cited by:

    1. Bellemare, Charles, 2007. "A life-cycle model of outmigration and economic assimilation of immigrants in Germany," European Economic Review, Elsevier, vol. 51(3), pages 553-576, April.

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    More about this item

    Keywords

    Migration movements; Semiparametric identification; immigrant performance; Panel data models;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers

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