How individual characteristics affect university students drop-out: a semiparametric mixed-effects model for an Italian case study


Belloc, Filippo, Maruotti, Antonello and Petrella, Lea (2011) How individual characteristics affect university students drop-out: a semiparametric mixed-effects model for an Italian case study. Journal of Applied Statistics, 38, (10), 2225-2239. (doi:10.1080/02664763.2010.545373).

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Description/Abstract

University drop-out is a topic of increasing concern in Italy as well as in other countries. In empirical analysis, university drop-out is generally measured by means of a binary variable indicating the drop-out versus retention. In this paper,we argue that the withdrawal decision is one of the possible outcomes of a set of four alternatives: retention in the same faculty, drop out, change of faculty within the same university, and change of institution. We examine individual-level data collected by the administrative offices of “Sapienza” University of Rome, which cover 117 072 students enrolling full-time for a 3 year degree in the academic years from 2001/2002 to 2006/2007. Relying on a non-parametric maximum likelihood approach in a finite mixture context, we introduce a multinomial latent effects model with endogeneity that accounts for both heterogeneity and omitted covariates. Our estimation results show that the decisions to change faculty or university have their own peculiarities, thus we suggest that caution should be used in interpreting results obtained without modeling all the relevant alternatives that students face.

Item Type: Article
ISSNs: 0266-4763 (print)
1360-0532 (electronic)
Keywords: university drop-out, mixed effects models, multinomial regression, Italian university system
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HA Statistics
L Education > LB Theory and practice of education > LB2300 Higher Education
Divisions: Faculty of Social and Human Sciences > Southampton Statistical Sciences Research Institute
Faculty of Social and Human Sciences > Mathematical Sciences > Statistics
ePrint ID: 341366
Date Deposited: 23 Jul 2012 13:58
Last Modified: 27 Mar 2014 20:24
URI: http://eprints.soton.ac.uk/id/eprint/341366

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