One of the main problems in efficiency analysis is to determinate the environmental variables that have an impact on the production process. This paper shows that applying bootstrap to data envelopment analysis (DEA) before performing classification and regression trees (CART) increase the quality of the results. In particular, employing data on the Italian Health System, the paper highlights that bias corrected DEA allows to individuate variables affecting health efficiency which would remain undiscovered when the traditional DEA model is applied. © 2012 Elsevier Ltd. All rights reserved.
De Nicola, A., Gitto, S., Mancuso, P. (2012). Uncover the predictive structure of healthcare efficiency applying a bootstrapped data envelopment analysis. EXPERT SYSTEMS WITH APPLICATIONS, 39(12), 10495-10499 [10.1016/j.eswa.2012.02.074].
Uncover the predictive structure of healthcare efficiency applying a bootstrapped data envelopment analysis
Gitto, Simone;
2012-01-01
Abstract
One of the main problems in efficiency analysis is to determinate the environmental variables that have an impact on the production process. This paper shows that applying bootstrap to data envelopment analysis (DEA) before performing classification and regression trees (CART) increase the quality of the results. In particular, employing data on the Italian Health System, the paper highlights that bias corrected DEA allows to individuate variables affecting health efficiency which would remain undiscovered when the traditional DEA model is applied. © 2012 Elsevier Ltd. All rights reserved.
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https://hdl.handle.net/11365/1060941