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

作者：Acarlar Irmak; Sahin Tekin Sinem Tugba; Orkcu H. Hasan^*

来源：Hacettepe Journal of Mathematics and Statistics, 2018, 47(1): 129-144.

DOI：10.15672/HJ.201613219248

• Data Envelopment Analysis
• influential observations
• super efficiency
• likelihood ratio test
• statistical hypothesis test

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 (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.

• 出版日期2018-2