Article ID: | iaor20171083 |
Volume: | 68 |
Issue: | 4 |
Start Page Number: | 446 |
End Page Number: | 455 |
Publication Date: | Apr 2017 |
Journal: | J Oper Res Soc |
Authors: | Mayston David J |
Keywords: | statistics: data envelopment analysis, decision, quality & reliability, programming: convex |
While Data Envelopment Analysis (DEA) has many attractions as a technique for analysing the efficiency of educational organisations, such as schools and universities, care must be taken in its use whenever its assumption of convexity of the prevailing technology and associated production possibility set may not hold. In particular, if the convexity assumption does not hold, DEA may overstate the scope for improvements in technical efficiency through proportional increases in all educational outputs and understate the importance of improvements in allocative efficiency from changing the educational output mix. The paper therefore examines conditions under which the convexity assumption is not guaranteed, particularly when the performance evaluation includes measures related to the assessed quality of the educational outputs. Under such conditions, there is a need to deploy other educational efficiency assessment tools, including an alternative non‐parametric output‐orientated technique and a more explicit valuation function for educational outputs, in order to estimate the shape of the efficiency frontier and both technical and allocative efficiency.