Non-Parametric Tests for Firm Efficiency in Case of Errors-in-Variables
2001-02-12
Research Paper
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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.
Keywords
Classifications using
Journal of Economic Literature (JEL) Classification System
- G30 : Corporate Finance and Governance: General
- M : Business Administration and Business Economics; Marketing; Accounting
- C40 : Econometric and Statistical Methods: Special Topics: General
Automatically Extracted Terms
- efficiency
- depth
- efficiency depth
- price
- analysis
- distribution
- statistic
- research
- production
- information
- theorem
- sample
- price information
- firm k j
- efficiency depth statistic
- level
- error
- assumption
- profit
- management
