ScholarLens Back to search
2009•International Journal of Management and Decision MakingRequires access

Measuring efficiency of Higher Education institutions

Tommaso Agasisti, Antonio Dal Bianco

Open publisher page 18 citations

Abstract

In this paper, we use Data Envelopment Analysis (DEA) and Stochastic Frontier (SF) analysis to obtain efficiency ranking and scores of Italian universities. The results are then compared. Differences between DEA and SF results are more attributable to heterogeneity among universities than to differences in methodologies. Indeed, after clustering universities in homogenous groups, similarities between DEA and SF results emerge. Finally, some policy implications are derived.

About this research paper

What this paper is about

In this paper, we use Data Envelopment Analysis (DEA) and Stochastic Frontier (SF) analysis to obtain efficiency ranking and scores of Italian universities. The results are then compared. Differences between DEA and SF results are more attributable to heterogeneity among universities than to differences in methodologies. Indeed, after clustering universities in homogenous groups, similarities between DEA and SF results emerge. Finally, some policy implications are derived.

Why it matters

OpenAlex reports 18 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In this paper, we use Data Envelopment Analysis (DEA) and Stochastic Frontier (SF) analysis to obtain efficiency ranking and scores of Italian universities. The results are then compared. Differences between DEA and SF results are more attributable to heterogeneity among universities than to differences in methodologies. Indeed, after clustering universities in homogenous groups, similarities between DEA and SF results emerge. Finally, some policy implications are derived.

Key concepts: Data envelopment analysis, Ranking (information retrieval), Stochastic frontier analysis, Frontier, Cluster analysis, Higher education, Econometrics, Envelopment

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Measuring efficiency of Higher Education institutions — Research Paper | ScholarLens