Evaluating the effects of university grants by using regression discontinuity designs

被引:32
作者
Mealli, Fabrizia [1 ]
Rampichini, Carla [1 ]
机构
[1] Univ Florence, Dipartimento Stat Giuseppe Parenti, I-50134 Florence, Italy
关键词
Evaluation of university grants; Non-linear difference-in-difference; Regression discontinuity designs; Specification tests; IDENTIFICATION; STATISTICS; INFERENCE;
D O I
10.1111/j.1467-985X.2011.01022.x
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
. The 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.
引用
收藏
页码:775 / 798
页数:24
相关论文
共 41 条
[1]   Semiparametric difference-in-differences estimators [J].
Abadie, A .
REVIEW OF ECONOMIC STUDIES, 2005, 72 (01) :1-19
[2]  
Agresti A, 2013, Categorical data analysis, V3rd
[3]  
Angrist J., 1999, Handb. Labor Econ., V3, P1277, DOI [10.1016/S1573-4463(99)03004-7, DOI 10.1016/S1573-4463(99)03004-7]
[4]  
Angrist JD, 1996, J AM STAT ASSOC, V91, P444, DOI 10.2307/2291629
[5]  
[Anonymous], 1990, APPL NONPARAMETRIC R, DOI DOI 10.1017/CCOL0521382483
[6]  
[Anonymous], ED GLANC 2009 OECD I
[7]  
[Anonymous], 2002, EXPT QUASIEXPERIMENT
[8]  
[Anonymous], EFFICACIA POLITICHE
[9]  
[Anonymous], 2001, Econometric Analysis of Cross Section and Panel Data
[10]  
[Anonymous], 1987, Statistical Science, DOI DOI 10.1214/SS/1177013232