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Technological Inefficiency and the Skewness of the Error Component in Stochastic Frontier Analysis

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Author Info
Martin A. Carree () (Department of General Economics, Faculty of Economics, Erasmus University Rotterdam, Tinbergen Institute, and Maastricht University)

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Abstract

This paper concentrates on negatively skewed one-sided distributions as an explanation of the occurence of positive (negative) skewness in the case of stochastic production (cost) frontier analysis. It takes as example the binomial distribution that can have negative or positive skew and derives the method-of-moments estimators.

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Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 02-012/2.

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Date of creation: 06 Feb 2002
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Handle: RePEc:dgr:uvatin:20020012

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Related research
Keywords: production frontier; cost frontier; skewness; binomial distribution.;

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  1. Waldman, Donald M., 1982. "A stationary point for the stochastic frontier likelihood," Journal of Econometrics, Elsevier, vol. 18(2), pages 275-279, February. [Downloadable!] (restricted)
  2. Green, Alison & Mayes, David, 1991. "Technical Inefficiency in Manufacturing Industries," Economic Journal, Royal Economic Society, vol. 101(406), pages 523-38, May. [Downloadable!] (restricted)
  3. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July. [Downloadable!] (restricted)
  4. Fan, Yanqin & Li, Qi & Weersink, Alfons, 1996. "Semiparametric Estimation of Stochastic Production Frontier Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(4), pages 460-68, October.
  5. Greene, William H., 1990. "A Gamma-distributed stochastic frontier model," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 141-163. [Downloadable!] (restricted)
  6. Olson, Jerome A. & Schmidt, Peter & Waldman, Donald M., 1980. "A Monte Carlo study of estimators of stochastic frontier production functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 67-82, May. [Downloadable!] (restricted)
  7. Loretta J. Mester, 1996. "Measuring efficiency at U.S. banks: accounting for heterogeneity is important," Working Papers 96-11/R, Federal Reserve Bank of Philadelphia. [Downloadable!]
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(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Arnab Bhattacharjee & Eduardo de Castro & (Late) Chris Jensen-Butler, 2007. " Evaluating Economic Theories of Growth and Inequality: A Study of the Danish Economy," CDMA Working Paper Series 0723, Centre for Dynamic Macroeconomic Analysis. [Downloadable!]
  2. Michael Fritsch & Andreas Stephan, 2007. "Die Heterogenität der Effizienz innerhalb von Branchen: eine Auswertung von Unternehmensdaten der Kostenstrukturerhebung im Verarbeitenden Gewerbe," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 76(3), pages 59-75. [Downloadable!] (restricted)
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  3. Mehari Mekonnen Akalu, 2002. "Measuring and Ranking Value Drivers," Tinbergen Institute Discussion Papers 02-043/2, Tinbergen Institute. [Downloadable!]
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