Optimal combinations of stochastic frontier and data envelopment analysis models

نویسندگان

چکیده

Recent research has shown that combination approaches, such as taking the maximum or mean over different methods of estimating efficiency scores, have practical merits and offer a useful alternative to adopting only one technique. This recent shows minimizes risk underestimation, improves precision estimation. In this paper, we propose implement formal criterion weighting based on maximizing proper criteria model fit (viz. log predictive scoring) show how it can be applied in Stochastic Frontier well Data Envelopment Analysis models, where problem is more difficult. Monte Carlo simulations new techniques perform very substantive application large U.S. banks some important differences with traditional models. The are also for first time coherent optimal pools subjected extensive testing finite samples.

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ژورنال

عنوان ژورنال: European Journal of Operational Research

سال: 2021

ISSN: ['1872-6860', '0377-2217']

DOI: https://doi.org/10.1016/j.ejor.2021.02.003