New Tools for Dealing with Errors-in-Variables in DEA.

We develop a series of novel conceptual tools to systematically account for errors-in-variables in Data Envelopment Analysis (DEA). These tools allow for statistical inference while requiring minimal statistical distribution assumptions, and therefore constitute a valuable addition to the tools currently available for dealing with errors-in-variables. An empirical application for large European Union financial institutions illustrates the proposed approach.

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Year of publication:	2000-03
Authors:	CHERCHYE, Laurens ; KUOSMANEN, Timo ; POST, Thierry
Institutions:	Centrum voor Economische Studiën, Faculteit Economie en Bedrijfswetenschappen
Subject:	Data Envelopment Analysis (DEA) \| errors-in-variables \| efficiency depth \| robust reference sets \| financial institutions

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Series:	Center for Economic Studies - Discussion papers.
Type of publication:	Book / Working Paper
Language:	English
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008543714