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Modeling Production Risk With A Two-Step Procedure

  • Asche, Frank
  • Tveteras, Ragnar

This study deals with modeling of production risk by means of a two-step procedure. In contrast to earlier studies of production risk, we do not immediately adopt restrictive functional forms for the risky production technology. We first test for the presence of production risk. If production risk is found to be present, the mean and risk functions are estimated separately. This allows the use of more flexible functional forms for both the mean and the risk functions than commonly found in the literature. An empirical application to Norwegian salmon farming, where restrictive specifications of the technology are rejected, demonstrates the validity of our approach. Presence of production risk many primary production sectors implies that this approach should be considered in productivity studies.

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Article provided by Western Agricultural Economics Association in its journal Journal of Agricultural and Resource Economics.

Volume (Year): 24 (1999)
Issue (Month): 02 (December)

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Handle: RePEc:ags:jlaare:30790
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  1. Wan, Guang H & Griffiths, William E & Anderson, Jock R, 1992. "Using Panel Data to Estimate Risk Effects in Seemingly Unrelated Production Functions," Empirical Economics, Springer, vol. 17(1), pages 35-49.
  2. Hurd, Brian H., 1994. "Yield Response And Production Risk: An Analysis Of Integrated Pest Management In Cotton," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(02), December.
  3. G. H. Wan & J. R. Anderson, 1990. "Estimating Risk Effects In Chinese Foodgrain Production," Journal of Agricultural Economics, Wiley Blackwell, vol. 41(1), pages 85-93.
  4. Gourieroux Christian & Monfort Alain & Trognon A, 1981. "Pseudo maximum likelihood methods : theory," CEPREMAP Working Papers (Couverture Orange) 8129, CEPREMAP.
  5. Arne Hallam & Rashid M. Hassan & B. D'Silva, 1989. "Measuring Stochastic Technology for the Multi-product Firm: The Irrigated Farms of Sudan," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 37(3), pages 495-512, November.
  6. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-94, September.
  7. MacKinnon, James G, 1992. "Model Specification Tests and Artificial Regressions," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 102-46, March.
  8. T. Bjørndal & K. G. Salvanes, 1995. "Gains From Deregulation? An Empirical Test For Efficiency Gains In The Norwegian Fish Farming Industry," Journal of Agricultural Economics, Wiley Blackwell, vol. 46(1), pages 113-126.
  9. 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.
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