Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/203096 
Erscheinungsjahr: 
2019
Schriftenreihe/Nr.: 
LEM Working Paper Series No. 2019/06
Verlag: 
Scuola Superiore Sant'Anna, Laboratory of Economics and Management (LEM), Pisa
Zusammenfassung: 
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.
Schlagwörter: 
Nonparametric efficiency
performance assessment
quality
benchmarking
directional distances
conditional efficiency
observed and unobserved heterogeneity
separability condition
European universities
JEL: 
C1
C14
C13
Dokumentart: 
Working Paper

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