Empirical characteristics of legal and illegal immigrants in the US

Arbeitspapier

We combine the New Immigrant Survey (NIS), which contains information on US legal immigrants, with the American Community Survey (ACS), which contains information on all immigrants to the U.S., legal and illegal ones. Using econometric methodology proposed by Lancaster and Imbens (1996) we compute the probability for each observation in the ACS data to refer to an illegal immigrant, conditional on observed characteristics. The results for illegal versus legal immigrants are novel, since no other work has quanti ed the characteristics of illegal immigrants from a random sample. We nd that, compared to legal immigrants, illegal immigrants are more likely to be less educated, males, and married with spouse not present. These results are heterogeneous across education categories, country of origin (Mexico) and whether professional occupations are included or not in the analysis. Forecasts for the distribution of certain legal and illegal characteristics match those available from other sources, such as aggregate imputations by the Department of Homeland Security for illegal immigrants.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Kiel Working Paper ; No. 1835

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination ; International Migration
• Thema: legal immigrants ; illegal immigrants ; contaminated controls

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Caponi, Vincenzo ; Plesca, Miana
• Ereignis: Veröffentlichung
• (wer): Kiel Institute for the World Economy (IfW)
• (wo): Kiel
• (wann): 2013

Weitere Informationen

• Handle: http://hdl.handle.net/10419/76716
• Letzte Aktualisierung: 10.03.2025, 11:43 MEZ