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Estimating State-Contingent Production Frontiers

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Author Info
C.J. O'Donnell
W.E. Griffiths

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Abstract

Chambers and Quiggin (2000) advocate the use of state-contingent production technologies to represent risky production and establish important theoretical results concerning producer behaviour under uncertainty. Unfortunately, perceived problems in the estimation of state-contingent models have limited the usefulness of the approach in policy formulation. We show that fixed and random effects state-contingent production frontiers can be conveniently estimated in a finite mixtures framework. An empirical example is provided. Compared to standard estimation approaches, we find that estimating production frontiers in a state-contingent framework produces significantly different estimates of elasticities, firm technical efficiencies and other quantities of economic interest.

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File URL: http://www.economics.unimelb.edu.au/SITE/research/workingpapers/wp04/911.pdf
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Publisher Info
Paper provided by The University of Melbourne in its series Department of Economics - Working Papers Series with number 911.

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Length: 33 pages
Date of creation: 2004
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Handle: RePEc:mlb:wpaper:911

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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. Gary Koop & M. F. J. Steel, 2004. "Bayesian Analysis of Stochastic Frontier Models," ESE Discussion Papers 19, Edinburgh School of Economics, University of Edinburgh.
  2. Chambers, Robert G & Quiggin, John, 2002. " The State-Contingent Properties of Stochastic Production Functions," American Journal of Agricultural Economics, American Agricultural Economics Association, vol. 84(2), pages 513-26, May. [Downloadable!] (restricted)
  3. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-32.
  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. Newbery, David M, 1989. "The Theory of Food Price Stabilisation," Economic Journal, Royal Economic Society, vol. 99(398), pages 1065-82, December. [Downloadable!] (restricted)
  6. Chambers, Robert G. & Quiggin, John, 1996. "Non-point-source pollution regulation as a multi-task principal-agent problem," Journal of Public Economics, Elsevier, vol. 59(1), pages 95-116, January. [Downloadable!] (restricted)
  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. Chambers, Robert G & Quiggin, John, 1997. "Separation and Hedging Results with State-Contingent Production," Economica, London School of Economics and Political Science, vol. 64(254), pages 187-209, May. [Downloadable!] (restricted)
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  9. Robert G. Chambers & John Quiggin, 2004. "Technological and financial approaches to risk management in agriculture: an integrated approach *," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society and Blackwell Publishing Asia Pty Ltd., vol. 48(2), pages 199-223, 06. [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. Just, Richard E. & Pope, Rulon D., 1978. "Stochastic specification of production functions and economic implications," Journal of Econometrics, Elsevier, vol. 7(1), pages 67-86, February. [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.
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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. Chris OÕDonnell & Robert G. Chambers & John Quiggin, . "Efficiency analysis in the presence of uncertainty," Risk & Uncertainty Working Papers WP2R06, Risk and Sustainable Management Group, University of Queensland. [Downloadable!]
  2. John Quiggin & Robert G. Chambers, . "The state-contingent approach to production under uncertainty," Risk & Uncertainty Working Papers WP1R05, Risk and Sustainable Management Group, University of Queensland. [Downloadable!]
  3. David Adamson & Thilak Mallawaarachchi & John Quiggin, 2005. "Modelling basin level allocation of water in the Murray Darling Basin in a world of uncertainty," Murray-Darling Program Working Papers WPM05_1, Risk and Sustainable Management Group, University of Queensland. [Downloadable!]
  4. Christopher O’Donnell & D. Rao & George Battese, 2008. "Metafrontier frameworks for the study of firm-level efficiencies and technology ratios," Empirical Economics, Springer, vol. 34(2), pages 231-255, March. [Downloadable!] (restricted)
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