Statistical Inference in Nonparametric Frontier Models: the State of the Art
The economic literature proposes several nonparametric frontier estimators based on the idea of enveloping the data (FDH and DEA-type estimators). Many have claimed that FDH and DEA techniques are non-statistical, as opposed to econometric approaches where particular parametric expressions are posited to model the frontier. We can now define a statistical model allowing determinion of the statistical properties of the non-parametric estimators in the multi-output and multi-input case. This paper summarizes the results wihic are now available, and provides a brief guide to the existing literature. Stressing the role of hypotheses and inference, we show how the results can be used or adapted for practical purposes.
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|Date of creation:||1999|
|Date of revision:|
|Contact details of provider:|| Postal: Universite Catholique de Louvain, Institut de Statistique, Voie du Roman Pays, 34 B-1348 Louvain- La-Neuve, Belgique.|
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- Simar, L. & Wilson, P.W., 1998.
"A General Methodology for Bootstrapping in Nonparametric Frontier Models,"
9811, Catholique de Louvain - Institut de statistique.
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- Simar, L. & Wilson, P.W., .
"Sensitivity analysis of efficiency scores: how to bootstrap in nonparametric frontier models,"
CORE Discussion Papers RP
1304, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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"Estimating and bootstrapping Malmquist indices,"
European Journal of Operational Research,
Elsevier, vol. 115(3), pages 459-471, June.
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- David C. Wheelock & Paul W. Wilson, 1993.
"Explaining bank failures: deposit insurance, regulation, and efficiency,"
1993-002, Federal Reserve Bank of St. Louis.
- Wheelock, David C & Wilson, Paul W, 1995. "Explaining Bank Failures: Deposit Insurance, Regulation, and Efficiency," The Review of Economics and Statistics, MIT Press, vol. 77(4), pages 689-700, November.
- Rajiv D. Banker, 1993. "Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation," Management Science, INFORMS, vol. 39(10), pages 1265-1273, October.
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