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T. Kuosmanen (Timo) and G.T. Post (Thierry)

2001-02-12

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

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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.

Additional Metadata
Keywords errors-in-variables, firm efficiency, nonparametric analysis
JEL Econometric and Statistical Methods: Special Topics: General (jel C40), Corporate Finance and Governance: General (jel G30), Business Administration and Business Economics; Marketing; Accounting (jel M)
Publisher Erasmus Research Institute of Management
Persistent URL hdl.handle.net/1765/72
Series ERIM Report Series Research in Management
Rights Copyright 2001, T. Kuosmanen, G.Th. Post, This report in the ERIM Report Series Research in Management is intended as a means to communicate the results of recent research to academic colleagues and other interested parties. All reports are considered as preliminary and subject to possibly major revisions. This applies equally to opinions expressed, theories developed, and data used. Therefore, comments and suggestions are welcome and should be directed to the authors.
Organisation Erasmus Research Institute of Management
Citation
Kuosmanen, T., & Post, T. (2001). Non-Parametric Tests for Firm Efficiency in Case of Errors-in-Variables (No. ERS-2001-06-F&A). ERIM Report Series Research in Management. Retrieved from http://hdl.handle.net/1765/72
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