Can grants affect student performance? Evidence from five Italian universities
Bibliographic Data
| ID | 4545689 |
|---|---|
| Authors | Grazia Graziosi (0000-0002-8905-5985, University of Trieste, corresponding author), Eline Sneyers (Hogeschool PXL University of Applied Sciences and Arts, Hasselt, Belgium), Tommaso Agasisti (0000-0002-8146-3079, Politecnico di Milano School of Management, Milano, Italy), Kristof De Witte (0000-0003-0505-8642, KU Leuven) |
| Year | 2021 |
| Volume | 43 |
| Issue | 1 |
| Pages | 24-48 |
| Publication date | 2021-01-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Higher Education Policy and Management (JOURNAL) |
| Journal identifiers | ISSN: 1360-080X • E-ISSN: 1469-9508 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/1360080x.2020.1737343 |
| OpenAlex | W3016894524 |
| Language | EN |
| Citations received | 3 |
| References cited | 22 |
This paper assesses the effect of need-based grants on the performance of university students in Italy. We performed a series of between-universities and within-universities propensity score matching analyses to evaluate the effect of grants on several student performance indicators, such as dropout rate, first year credits and efficiency of study. Our findings suggest that financial aid has a positive, substantial and statistically robust effect on university students’ performance and on if and when they complete their undergraduate degree courses. The positive impact is heterogeneous across universities, while few differences were detected for subgroups of students. Reinforcing financial aid policies can simultaneously help disadvantaged students and improve overall academic performance in Italian universities
Academic achievement · Affect (linguistics · Business · Demographic economics · Disadvantaged · Dropout (neural networks · Economic growth · Economics · Higher education · Matching (statistics · Mathematics education · Medical education · Political science · Propensity score matching · Advanced Causal Inference Techniques · Computer Science · Economic Policies and Impacts · Higher Education Research Studies · Medicine · Psychology
Education at a Glance 2017
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The central role of the propensity score in observational studies for causal effects
Estimating causal effects of treatments in randomized and nonrandomized studies.
Statistics and Causal Inference
College Cost and Time to Complete a Degree
An Evaluation of the Swedish System of Active Labor Market Programs in the 1990s
Grants in Italian university
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,75 |
| Citation span | 2022 - 2024 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |