An application of statistical interference in DEA models: An analysis of public owned university departments' efficiency

George Halkos, Nickolaos G. Tzeremes and Stavros Kourtzidis

EERI Research Paper Series from Economics and Econometrics Research Institute (EERI), Brussels

Abstract: This paper uses Data Envelopment Analysis (DEA) model formulations in order to determine the performance levels of 16 departments of the University of Thessaly. Particularly, the constant returns to scale (CRS) and variable returns to scale (VRS) models have been applied alongside with bootstrap techniques in order to determine accurate performance measurements of the 16 departments. The study illustrates how the recent developments in efficiency analysis and statistical inference can be applied when evaluating institutional performance issues. The paper provides the efficient departments and the target values which need to be adopted from the inefficient departments in order to operate in the most productive scale size (MPSS). Moreover it provides bias corrected estimates alongside with their confidence intervals. The analysis indicates that there are strong inefficiencies among the departments, emphasizing the misallocation of resources or/and inefficient application of departments policy developments.

Keywords: University efficiency; DEA; Bootstrap techniques; Kernel density estimation, Economic research; Europe; University rankings. (search for similar items in EconPapers)
JEL-codes: A1 A12 A14 A2 (search for similar items in EconPapers)
Date: 2010-08-17
New Economics Papers: this item is included in nep-eff
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.eeri.eu/documents/wp/EERI_RP_2010_17.pdf (application/pdf)

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:eei:rpaper:eeri_rp_2010_17

Access Statistics for this paper

More papers in EERI Research Paper Series from Economics and Econometrics Research Institute (EERI), Brussels Contact information at EDIRC.
Bibliographic data for series maintained by Julia van Hove ().