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

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.

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Year of publication:	2001-02-12
Authors:	Kuosmanen, T. ; Post, G.T.
Institutions:	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.
Subject:	firm efficiency \| nonparametric analysis \| errors-in-variables

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Extent:	application/pdf
Series:	Research Paper. - ISSN 1566-5283.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series RePEc:dgr:eureri Number ERS-2001-06-F&A
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10004969838