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

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  • Martin A. Carree

    ()
    (Department of General Economics, Faculty of Economics, Erasmus University Rotterdam, Tinbergen Institute, and Maastricht University)

Abstract

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

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Bibliographic Info

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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Web page: http://www.tinbergen.nl

Related research

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

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References

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  1. Loretta J. Mester, 1996. "Measuring efficiency at U.S. banks: accounting for heterogeneity is important," Working Papers 96-11, Federal Reserve Bank of Philadelphia.
  2. 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.
  3. Waldman, Donald M., 1982. "A stationary point for the stochastic frontier likelihood," Journal of Econometrics, Elsevier, vol. 18(2), pages 275-279, February.
  4. Greene, William H., 1990. "A Gamma-distributed stochastic frontier model," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 141-163.
  5. Green, Alison & Mayes, David, 1991. "Technical Inefficiency in Manufacturing Industries," Economic Journal, Royal Economic Society, vol. 101(406), pages 523-38, May.
  6. Li, Qi, 1996. "Estimating a stochastic production frontier when the adjusted error is symmetric," Economics Letters, Elsevier, vol. 52(3), pages 221-228, September.
  7. 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.
  8. 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.
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Cited by:
  1. Michael Fritsch & Andreas Stephan, 2007. "Die Heterogenität der Effizienz innerhalb von Branchen - Eine Auswertung von Unternehmensdaten der Kostenstrukturerhebung im Verarbeitenden Gewerbe," Jena Research Papers in Business and Economics - Working and Discussion Papers 23/2007, Friedrich-Schiller-University Jena, School of Economics and Business Administration.
  2. William C. Horrace & Christopher F. Parmeter, 2014. "A Laplace Stochastic Frontier Model," Center for Policy Research Working Papers 166, Center for Policy Research, Maxwell School, Syracuse University.
  3. Sheriff, Glenn, 2009. "Implementing second-best environmental policy under adverse selection," Journal of Environmental Economics and Management, Elsevier, vol. 57(3), pages 253-268, May.
  4. 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 200723, Centre for Dynamic Macroeconomic Analysis.
  5. Bielecki, Andre & Albers, Sönke, 2012. "Eine Analyse der Forschungseffizienz deutscher betriebswirtschaftlicher Fachbereiche basierend auf den Daten des Centrums für Hochschulentwicklung (CHE)," EconStor Preprints 57429, ZBW - German National Library of Economics.

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