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

Authors:
Arianna De Nicola;Simone Gitto;Paolo Mancuso
Affiliations:
De Nicola: Dipartimento di Ingegneria dell'Impresa. Universití di Roma "Tor Vergata", Via del Politecnico 1, 00133 Rome, Italy;Gitto: Dipartimento di Ingegneria dell'Impresa. Universití di Roma "Tor Vergata", Via del Politecnico 1, 00133 Rome, Italy;Mancuso: Dipartimento di Ingegneria dell'Impresa. Universití di Roma "Tor Vergata", Via del Politecnico 1, 00133 Rome, Italy
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

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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.