Article ID: | iaor20108912 |
Volume: | 181 |
Issue: | 1 |
Start Page Number: | 377 |
End Page Number: | 392 |
Publication Date: | Dec 2010 |
Journal: | Annals of Operations Research |
Authors: | Witte Kristof, Marques C |
Keywords: | frontier analysis, outliers |
This paper suggests an outlier detection procedure which applies a nonparametric model accounting for undesired outputs and exogenous influences in the sample. Although efficiency is estimated in a deterministic frontier approach, each potential outlier initially benefits of the doubt of not being an outlier. We survey several outlier detection procedures and select five complementary methodologies which, taken together, are able to detect all influential observations. To exploit the singularity of the leverage and the peer count, the super-efficiency and the order-