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The Effect of Grants on University Drop-Out Rates: Evidence on the Italian Case

Author

Listed:
  • Modena, Francesca

    (Bank of Italy)

  • Rettore, Enrico

    (University of Padova)

  • Tanzi, Giulia

    (Bank of Italy)

Abstract
In this paper we evaluate the impact of need-based grants on university drop-out rates in the first year of enrollment, using student-level administrative data from all Italian universities in the period 2003-2013. We exploit the fact that not all eligible students receive financial aid due to limited resources to generate a treatment and a control group. Using this partition, we estimate the average treatment effect, i.e. the average effect on low income students, controlling for a set of observable characteristics by running regressions on blocks defined on the propensity score. Results point towards a sizeable effect of grants in reducing dropping out from higher education: around one third of these students would have left university in the first year in absence of the grants. This evidence is robust to a variety of specifications and sample selection criteria.

Suggested Citation

  • Modena, Francesca & Rettore, Enrico & Tanzi, Giulia, 2020. "The Effect of Grants on University Drop-Out Rates: Evidence on the Italian Case," IZA Discussion Papers 12886, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp12886
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    Cited by:

    1. Modena, Francesca & Rettore, Enrico & Tanzi, Giulia, 2021. "Does Gender Matter? The Effect of High Performing Peers on Academic Performances," IZA Discussion Papers 14806, Institute of Labor Economics (IZA).
    2. Olivier Coibion & Yuriy Gorodnichenko & Tiziano Ropele, 2020. "Inflation Expectations and Firm Decisions: New Causal Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(1), pages 165-219.
    3. Berlingieri, Francesco & Diegmann, André & Sprietsma, Maresa, 2023. "Preferred field of study and academic performance," Economics of Education Review, Elsevier, vol. 95(C).
    4. Delogu, Marco & Lagravinese, Raffaele & Paolini, Dimitri & Resce, Giuliano, 2024. "Predicting dropout from higher education: Evidence from Italy," Economic Modelling, Elsevier, vol. 130(C).
    5. Minaya, Veronica & Agasisti, Tommaso & Bratti, Massimiliano, 2022. "When need meets merit: The effect of increasing merit requirements in need-based student aid," European Economic Review, Elsevier, vol. 146(C).
    6. Francesca Modena & Santiago Pereda-Fernández & Giulia Martina Tanzi, 2023. "On the Design of Grant Assignment Rules," Politica economica, Società editrice il Mulino, issue 1, pages 3-40.
    7. Fabrizio Ferriani & Filippo Natoli & Giovanni Veronese & Federica Zeni, 2019. "Risk premium in the era of shale oil," Temi di discussione (Economic working papers) 1215, Bank of Italy, Economic Research and International Relations Area.
    8. Michele Loberto, 2019. "Safety traps, liquidity and information-sensitive assets," Temi di discussione (Economic working papers) 1216, Bank of Italy, Economic Research and International Relations Area.
    9. Giuseppe Ferrero & Andrea Nobili & Gabriele Sene, 2019. "Credit risk-taking and maturity mismatch: the role of the yield curve," Temi di discussione (Economic working papers) 1220, Bank of Italy, Economic Research and International Relations Area.
    10. Alberto Martini & Davide Azzolini & Barbara Romano & Loris Vergolini, 2021. "Increasing College Going by Incentivizing Savings: Evidence from a Randomized Controlled Trial in Italy," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 40(3), pages 814-840, June.
    11. Modena, Francesca & Rettore, Enrico & Tanzi, Giulia Martina, 2022. "Asymmetries in the gender effect of high-performing peers: Evidence from tertiary education," Labour Economics, Elsevier, vol. 78(C).

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    More about this item

    Keywords

    student financial aid; university dropout; higher education; human capital; blocking with regression adjustment;
    All these keywords.

    JEL classification:

    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • 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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