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University drop-out. The case of Italy

Author

Listed:
  • Federico Cingano

    (Bank of Italy, Research Department)

  • Piero Cipollone

    (Bank of Italy, Research Department)

Abstract

We combine individual and aggregate-level level data on educational attainment to study the determinants of university drop-out in Italy, one of the worst performers among developed countries. Based on detailed information on a representative sample of secondary school graduates and on local university supply we first show that family and educational background are relevant determinants of continuation probability. In particular, our results show that accounting for enrollment-induced sample selection significantly enhances the estimated coefficients with respect to standard probit analysis. We then combine our estimates with data on family and educational backgrounds of secondary school graduates in comparable European countries and find that differences in endowments only explain a minor fraction of the observed cross-country gap in students� attainments.

Suggested Citation

  • Federico Cingano & Piero Cipollone, 2007. "University drop-out. The case of Italy," Temi di discussione (Economic working papers) 626, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:wptemi:td_626_06
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    File URL: http://www.bancaditalia.it/pubblicazioni/temi-discussione/2007/2007-0626/en_tema_626.pdf
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    More about this item

    Keywords

    University drop-out; School transitions; Social mobility; Tobit estimation;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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