Undocumented Immigrants in Milan: Evidence from Naga Records

ECONPUBBLICA Working Paper No. 110

38 Pages Posted: 10 Mar 2006

See all articles by Carlo Devillanova

Carlo Devillanova

Bocconi University - Department of Policy Analysis and Public Management

Tommaso Frattini

University of Milan - Centro Studi Luca d'Agliano (LdA); University of Milan - Department of Economics, Business and Statistics

Date Written: March 2006

Abstract

Undocumented immigration is a core policy issue. However, quantitative information on the phenomenon is absolutely scant. This paper uses a uniquely large data set on undocumented immigrants to provide new information on immigrants' personal characteristics and their socioeconomic status. We find a great heterogeneity of migration patterns across ethnic groups and between genders. We also document that immigrants possess, on average, a high level of education and perform qualified jobs in their country of origin. This is in striking contrast with their labour market outcomes in Italy, where 46% of immigrants are unemployed and almost all employed individuals perform very elementary occupations. Regression analysis suggests that schooling and knowledge of Italian are positively associated with the probability of being employed. We also find that, ceteris paribus, immigrants from Sub Saharan Africa have a lower employment rate.

Keywords: Immigrants, Milan, Naga

JEL Classification: J61

Suggested Citation

Devillanova, Carlo and Frattini, Tommaso, Undocumented Immigrants in Milan: Evidence from Naga Records (March 2006). ECONPUBBLICA Working Paper No. 110, Available at SSRN: https://ssrn.com/abstract=889306 or http://dx.doi.org/10.2139/ssrn.889306

Carlo Devillanova (Contact Author)

Bocconi University - Department of Policy Analysis and Public Management ( email )

Via Roentgen 1
Milan, 20136
Italy

Tommaso Frattini

University of Milan - Centro Studi Luca d'Agliano (LdA) ( email )

Via P. Amedeo 34
Milano, Mi 20122
Italy

University of Milan - Department of Economics, Business and Statistics ( email )

Via Festa del Perdono, 7
Milan, 20122
Italy

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