Measuring Efficiency in Higher Education: An Empirical Study Using a Bootstrapped Data Envelopment Analysis

Cristian Barra and Roberto Zotti

International Advances in Economic Research, 2016, vol. 22, issue 1, No 2, 33 pages

Abstract: Abstract This paper applies data envelopment analysis (DEA) to assess technical efficiency in a big public university. Particular attention has been paid to two main activities, teaching and research, and on two large groups, the Science and Technology (ST) sector and the Humanity and Social Science (HSS) sector. The findings, based to data from 2005 to 2009, suggest that the ST sector is more efficient in terms of quality of research than the HSS sector, that instead achieves higher efficiency in teaching activities. The efficiency estimates strongly depend on the output specification, given that the use of several quality proxies, such as three research and two student questionnaire-based teaching alternative indices, reduce performance and its differentials for both research and teaching activities. A bootstrap technique is also used to provide confidence intervals for efficiency scores and to obtain bias-corrected estimates. The Malmquist index is calculated to measure changes in productivity.

Keywords: Teaching and research efficiency; Data envelopment analysis; Quality diversification; Malmquist index; Bootstrap techniques; JEL; I21; I23; C14; C67 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

Downloads: (external link)
http://link.springer.com/10.1007/s11294-015-9558-4 Abstract (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:iaecre:v:22:y:2016:i:1:d:10.1007_s11294-015-9558-4

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11294

DOI: 10.1007/s11294-015-9558-4

Access Statistics for this article

International Advances in Economic Research is currently edited by Katherine S. Virgo

More articles in International Advances in Economic Research from Springer, International Atlantic Economic Society Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().