Titelaufnahme

Titel
Imputation match bias in immigrant wage convergence / Joni Hersch (Vanderbilt Law School and IZA), Jennifer Bennett Shinall (Vanderbilt Law School) ; IZA Institute of Labor Economics
VerfasserHersch, Joni In der Gemeinsamen Normdatei der DNB nachschlagen ; Shinall, Jennifer Bennett In der Gemeinsamen Normdatei der DNB nachschlagen
KörperschaftForschungsinstitut zur Zukunft der Arbeit In der Gemeinsamen Normdatei der DNB nachschlagen
ErschienenBonn, Germany : IZA Institute of Labor Economics, January 2018
Ausgabe
Elektronische Ressource
Umfang1 Online-Ressource (14 Seiten)
SerieDiscussion paper ; no. 11306
URNurn:nbn:de:hbz:5:2-148608 Persistent Identifier (URN)
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Volltexte
Imputation match bias in immigrant wage convergence [0.41 mb]
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Zusammenfassung

Although immigrants to the United States earn less at entry than their native-born counterparts, an extensive literature finds that immigrants have faster earnings growth that results in rapid convergence to native-born earnings. However, recent evidence based on Census data indicates a slowdown in the rate of earnings assimilation. We find that the pace of immigrant wage convergence based on recent data may be understated in the literature due to the method used by the Census to impute missing information on earnings, which does not use immigration status as a match characteristic. Because both the share of immigrants in the workforce and earnings imputation rates have risen over time, imputation match bias for recent immigrants is more consequential than in earlier periods and may lead to an underestimate of the rate of immigrant wage convergence.