Non-Parametric Tests for Firm Efficiency in Case of Errors-in-Variables

Timo Kuosmanen and Thierry Post

ERIM Report Series Research in Management from Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam

Abstract: This paper develops a novel statistic for firm efficiency called efficiency depth that allows for statistical inference in case of errors-in-variables. We derive statistical tests that require minimal statistical assumptions; neither the sample distribution nor the noise level is required. An empirical illustration for European banks illustrates that - despite the minimal assumptions- the tests can have substantial discriminating power in practical applications.

Keywords: errors-in-variables; firm efficiency; nonparametric analysis (search for similar items in EconPapers)
JEL-codes: C40 G30 M (search for similar items in EconPapers)
Date: 2001-02-12
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Citations: View citations in EconPapers (1)

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