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Confidence Statements for Efficiency Estimates from Stochastic Frontier Models

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Author Info
William C. Horrace (University of Arizona)
Peter Schmidt (Michigan State University)

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Abstract

This paper is an empirical study of the uncertainty associated with estimates from stochastic frontier models. We show how to construct confidence intervals for estimates of technical efficiency levels under different sets of assumptions ranging from the very strong to the relatively weak. We demonstrate empirically how the degree of uncertainty associated with these estimates relates to the strength of the assumptions made and to various features of the data.

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Publisher Info
Paper provided by EconWPA in its series Econometrics with number 0206006.

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Length: 42 pages
Date of creation: 20 Jun 2002
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Handle: RePEc:wpa:wuwpem:0206006

Note: Type of Document - Acrobat PDF; prepared on IBM PC; to print on HP; pages: 42; figures: Included. None
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Web page: http://129.3.20.41

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Related research
Keywords: Confidence intervals; stochastic frontier models; efficiency measurement;

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Find related papers by JEL classification:
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation

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References listed on IDEAS
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. 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. William H. Greene, 1993. "Frontier Production Functions," Working Papers 93-20, New York University, Leonard N. Stern School of Business, Department of Economics.
  3. Park, B.U. & Simar, L., 1992. "Efficient Semiparametric Estimation in Stochastic Frontier Model," Papers 9201, Catholique de Louvain - Institut de statistique.
    Other versions:
  4. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211. [Downloadable!] (restricted)
  5. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May. [Downloadable!] (restricted)
  6. Cornwell, C. & Schmidt, P., 1993. "Production Frontiers and Efficiency Measurement," Papers 427e, Georgia - College of Business Administration, Department of Economics.
  7. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July. [Downloadable!] (restricted)
  8. Tsybakov, A.B. & Korostelev, A.P. & Simar, L., 1992. "Efficient Estimation of Monotone Boundaries," Papers 9209, Catholique de Louvain - Institut de statistique.
  9. Seale, James M, Jr, 1990. "Estimating Stochastic Frontier Systems with Unbalanced Panel Data: The Case of Floor Tile Manufactories in Egypt," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 5(1), pages 59-74, January-M. [Downloadable!] (restricted)
  10. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August. [Downloadable!] (restricted)
  11. Greene, William H., 1990. "A Gamma-distributed stochastic frontier model," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 141-163. [Downloadable!] (restricted)
  12. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-74, October.
  13. KNEIPÊ, Alois & SIMARÊ, LŽopold, 1995. "A General Framework for Frontier Estimation with Panel Data," CORE Discussion Papers 1995060, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  14. 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)
  15. Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990. "Production frontiers with cross-sectional and time-series variation in efficiency levels," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200. [Downloadable!] (restricted)
    Other versions:
  16. Peter Schmidt, 1985. "Frontier production functions," Econometric Reviews, Taylor and Francis Journals, vol. 4(2), pages 289-328. [Downloadable!] (restricted)
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