A modified test for detecting influential decision-making units in data envelopment analysis

Authors : İrmak ACARLAR, Sinem Tuğba ŞAHİN TEKİN, H Hasan ÖRKCÜ

Pages : 129-144

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Publication Date : 2018-02-01

Article Type : Research Paper

Abstract :In data analyses based on a deterministic or stochastic approach, using pre-study is very important to identify observations that are not suitable to data in general. Among such observations, those that have a high tendency to change results negatively are called influential observations. In this paper, we propose a new method to identify influential observations in Data Envelopment Analysis insert ignore into journalissuearticles values(DEA);. Our method is a modified version of the one proposed by Pastor et al. [12]. Both methods are compared by using two well-known data sets and the outcomes are discussed. A comparative analysis indicates that our method is an effective alternative to the Pastor et al. [12] method to identify influential observations in DEA.
Keywords : Data Envelopment Analysis, inuential observations, super efficiency, likelihood ratio test, statistical hypothesis test