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Journal of the Royal Statistical Society Series A (Statistics in Society)
Article . 2012 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
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Evaluating the Effects of University Grants by Using Regression Discontinuity Designs

Authors: MEALLI, FABRIZIA; RAMPICHINI, CARLA;

Evaluating the Effects of University Grants by Using Regression Discontinuity Designs

Abstract

SummaryThe paper evaluates the effects of Italian university grants on student dropout. Eligible applicants receive a grant if their family economic indicator is below a specified threshold, so the grant assignment rule appeals to a regression discontinuity design. After a brief introduction to regression discontinuity designs, the particular setting that is considered in the paper is formalized. Difference-in-difference type assumptions are introduced to identify and estimate the effect away from the threshold. Empirical results show that, at the threshold, the grant is an effective tool to prevent students from low income families from dropping out of higher education. However, there is some evidence that the effect of the grant becomes smaller and not significant for poorer students who are further from the threshold.

Country
Italy
Keywords

Statistics and Probability, Economics and Econometrics, causal effects; univeristy grants; sharp regression discontinuity designs, Statistics, Probability and Uncertainty, Social Sciences (miscellaneous)

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Top 10%
Top 10%
Top 10%
Green
hybrid