Errors-in-variables: Efficiency Depth Timo Kuosmanen, Thierry Post Erasmus Research Institute of Management Report Series Research in Management Bibliographic Data and Classifications

نویسندگان

  • TIMO KUOSMANEN
  • THIERRY POST
چکیده

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 assumptionsthe tests can have substantial discriminating power in practical applications. 5001-6182 Business 4001-4280.7 Finance Management, Business Finance, Corporation Finance Library of Congress Classification (LCC) HG 1576 Statistics: Banking M Business Administration and Business Economics G 3 Corporate Finance and Governance Journal of Economic Literature (JEL) C 4 Econometric and Statistical Methods 85 A Business General 220 A Financial Management European Business Schools Library Group (EBSLG) 250 C Statistics Gemeenschappelijke Onderwerpsontsluiting (GOO) 85.00 Bedrijfskunde, Organisatiekunde: algemeen 85.30 Financieel management, financiering Classification GOO 31.73 Mathematische Statistiek Bedrijfskunde / Bedrijfseconomie Financieel management, bedrijfsfinanciering, besliskunde

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تاریخ انتشار 2001