Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/203096
Authors: 
Daraio, Cinzia
Simar, Léopold
Wilson, Paul W.
Year of Publication: 
2019
Series/Report no.: 
LEM Working Paper Series 2019/06
Abstract: 
The issue of quality and its relationship with efficiency and performance is a crucial operational issue in many fields of study including production economics, operations research, engineering and business management. In this paper we provide a methodology for identifying latent quality factors, estimate their statistical significance and analyze their impact on the performance of the production process. This methodology is based on up-to-date computational methods and statistical tests for directional distances. We illustrate the approach using real data to evaluate the performance of European Universities.
Subjects: 
Nonparametric efficiency
performance assessment
quality
benchmarking
directional distances
conditional efficiency
observed and unobserved heterogeneity
separability condition
European universities
JEL: 
C1
C14
C13
Document Type: 
Working Paper
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