A Directional Distance Approach Applied to Higher Education

An Analysis of Teaching‐related Output Efficiency

Bibliographic Data

ID12615225
AuthorsCristian Barra (0000-0001-8108-3888, University of Salerno Italy), Roberto Zotti (0000-0002-9493-7659, University of Salerno Italy, corresponding author)
Year2015
Volume87
Issue2
Pages145-173
Publication date2015-07-08
Open AccessYes
TypeARTICLE
VenueAnnals of Public and Cooperative Economics (JOURNAL)
Journal identifiersISSN: 1370-4788 • E-ISSN: 1467-8292
PublisherWiley (PUBLISHER • GB)
DOI10.1111/apce.12091
OpenAlexW1499429653
LanguageEN
Citations received4
References cited38

This paper applies a data envelopment analysis (DEA) method to assess technical efficiency of both private and public universities in Italy. A directional distance function approach has been applied in order to handle both desirable (i.e. number of graduates) and undesirable (i.e. number of dropouts) outputs. The findings based on a panel from academic year 2003/2004 to 2007/2008 reveal the presence of interesting geographical (both by macro areas and regions) and ownership (private, public) effects. Several quality and quantity proxies have also been used in order to check whether the estimates depend on the output specification. Finally, the possible evidence of variation in the universities’ performances by subject of study has been taken into account in order to check whether the results are still consistent comparing universities within subject rather than across subjects

Data envelopment analysis · Econometrics · Economic growth · Economics · Efficiency · Function (biology · Geography · Higher education · Macro · Order (exchange · Panel data · Quality (philosophy · Regional science · Statistics · Subject (documents · Computer Science · Economic Growth and Productivity · Efficiency Analysis Using DEA · Firm Innovation and Growth · Mathematics · Finance

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