Uncover the predictive structure of healthcare efficiency applying a bootstrapped data envelopment analysis

نویسندگان

  • Arianna De Nicola
  • Simone Gitto
  • Paolo Mancuso
چکیده

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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عنوان ژورنال:
  • Expert Syst. Appl.

دوره 39  شماره 

صفحات  -

تاریخ انتشار 2012