EconPapers    
Economics at your fingertips  
 

Small is not that beautiful after all: measuring the scale efficiency of Tunisian high schools using a DEA-bootstrap method

Hédi Essid (), Pierre Ouellette and Stéphane Vigeant ()

Applied Economics, 2013, vol. 45, issue 9, 1109-1120

Abstract: Allocation of resources to schools in a centrally managed state system, as the Tunisian one, should depend on the performance of the individual institutions. The optimal size is of crucial importance in this context and we need accurate measurement for sound policies. This article discusses and implements a nonparametric statistical test procedure for organization scale efficiency. This procedure allows us to test whether the observed scale efficiency is optimal or not, using a smooth bootstrap methodology for efficiency measures estimated using Data Envelopment Analysis (DEA) methods. Because school principals do not control for the size of their institution, i.e. the capital available at decision time, the scale efficiency measures are defined so as to include quasi-fixed inputs. The results show that scale efficiency measures are subject to sampling variation. We also found that the schools that are scale efficient are usually mid-sized and large schools, when size is measured by the number of students. This contradicts the largely shared view among decision makers that small schools were optimal.

Date: 2013
References: View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2011.613795 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: Small is not that beautiful after all: Measuring the scale efficiency of Tunisian High Schools using a DEA-bootstrap method (2011) Downloads
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:taf:applec:45:y:2013:i:9:p:1109-1120

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20

DOI: 10.1080/00036846.2011.613795

Access Statistics for this article

Applied Economics is currently edited by Anita Phillips

More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2024-07-04
Handle: RePEc:taf:applec:45:y:2013:i:9:p:1109-1120