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Tertiary education decisions of immigrants and non-immigrants in Italy: an empirical approach

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  • Michele Lalla
  • Patrizio Frederic

Abstract

Decisions regarding tertiary schooling are important for young people as it affects future opportunities for employment and social mobility. Tertiary schooling also plays a role in the social integration of immigrants. To determine differences in the choices of young Italian natives and immigrants concerning education, two datasets for 2009 were used: European Union Statistics on Income and Living Conditions (EU-SILC) and the Italian Survey on Income and Living Conditions of Families with Immigrants in Italy (IT-SILCFI). Analysing a sub-sample of young Italians and immigrants, between 18 and 29 years of age, the association of both individual and family explanatory variables in the choice of secondary schooling (yes/no) was assessed using logistic models. The results show that young immigrants tend to interrupt their schooling earlier than their Italian peers. However, differences disappear when family background and parental characteristics are taken into account.

Suggested Citation

  • Michele Lalla & Patrizio Frederic, 2020. "Tertiary education decisions of immigrants and non-immigrants in Italy: an empirical approach," Department of Economics 0168, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    • Handle: RePEc:mod:depeco:0168
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    References listed on IDEAS

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    1. Yann Algan & Christian Dustmann & Albrecht Glitz & Alan Manning, 2010. "The Economic Situation of First and Second-Generation Immigrants in France, Germany and the United Kingdom," Economic Journal, Royal Economic Society, vol. 120(542), pages 4-30, February.
    2. Eva K. Andersson & Torkild Hovde Lyngstad & Bart Sleutjes, 2018. "Comparing Patterns of Segregation in North-Western Europe: A Multiscalar Approach," European Journal of Population, Springer;European Association for Population Studies, vol. 34(2), pages 151-168, May.
    3. Friedman, Jerome H. & Hastie, Trevor & Tibshirani, Rob, 2010. "Regularization Paths for Generalized Linear Models via Coordinate Descent," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i01).
    4. Michele Lalla & Elena Pirani, 2014. "The secondary education choices of immigrants and non-immigrants in Italy," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 68(3-4), pages 9-46, July-Dece.
    5. Paola Bertolini & Michele Lalla & Francesco Pagliacci, 2015. "School enrolment of first- and second-generation immigrant students in Italy: A geographical analysis," Papers in Regional Science, Wiley Blackwell, vol. 94(1), pages 141-159, March.
    6. Hui Zou & Trevor Hastie, 2005. "Addendum: Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(5), pages 768-768, November.
    7. Bart Sleutjes & Helga A. G. Valk & Jeroen Ooijevaar, 2018. "The Measurement of Ethnic Segregation in the Netherlands: Differences Between Administrative and Individualized Neighbourhoods," European Journal of Population, Springer;European Association for Population Studies, vol. 34(2), pages 195-224, May.
    8. Hui Zou & Trevor Hastie, 2005. "Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(2), pages 301-320, April.
    9. Anh Ngoc Nguyen & Jim Taylor, 2003. "Post-high school choices: New evidence from a multinomial logit model," Journal of Population Economics, Springer;European Society for Population Economics, vol. 16(2), pages 287-306, May.
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    More about this item

    Keywords

    educational inequality; peer effects; educational territorial pattern;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination

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