Authors: Boutheina Bannour
Addresses: Department of Applied Economics and Simulation, Faculty of Economy and Finance, University of Monastir-Tunisia, Mahdia, Tunisia
Abstract: This paper presents a bootstrapped efficiency score through estimating the DEA model. We focus on an input-oriented approach using returns to scale. By using input and output data on 20 Tunisian banks over the period 1990-2010, we construct more accurate bootstrapped confidence intervals; hence, we provide more reliable and useful results for decision-makers. Moreover, we find that 4 out of 20 Tunisian banks are perfectly efficient using a data-driven estimate of the smoothing parameter.
Keywords: statistical inference; DEA model; data envelopment analysis; bootstraping; mathematical programming; banks; Tunisia; non-parametric frontier models; technical efficiency; banking industry; bank efficiency.
International Journal of Quality Engineering and Technology, 2015 Vol.5 No.3/4, pp.238 - 265
Received: 27 Oct 2014
Accepted: 11 Oct 2015
Published online: 04 Apr 2016 *