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Production Risk Revisited In A Stochastic Frontier Framework: Evaluating Noise And Inefficiency In Cover Crop Systems

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  • Jaenicke, Edward C.
  • Larson, James A.

Abstract

This paper investigates both risk and technical inefficiency in a general stochastic frontier framework that is consistent with the Just-Pope framework. After applying the model to two separate cash crop-cover crop systems, the more general stochastic frontier model is found to reorder the noisiness of alternative cover crop regimes.

Suggested Citation

  • Jaenicke, Edward C. & Larson, James A., 2001. "Production Risk Revisited In A Stochastic Frontier Framework: Evaluating Noise And Inefficiency In Cover Crop Systems," 2001 Annual meeting, August 5-8, Chicago, IL 20477, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea01:20477
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    File URL: http://purl.umn.edu/20477
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    References listed on IDEAS

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    1. Giesler, G. Grant & Paxton, Kenneth W. & Millhollon, E.P., 1993. "A Gsd Estimation Of The Relative Worth Of Cover Crops In Cotton Production Systems," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(01), July.
    2. Larson, James A. & Jaenicke, Edward C. & Roberts, Roland K. & Tyler, Donald D., 2001. "Risk Effects Of Alternative Winter Cover Crop, Tillage, And Nitrogen Fertilization Systems In Cotton Production," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 33(03), December.
    3. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    4. Quiggin, John & Chambers, Robert G., 1998. "A state-contingent production approach to principal-agent problems with an application to point-source pollution control," Journal of Public Economics, Elsevier, vol. 70(3), pages 441-472, December.
    5. Ahmad, Munir & Boris E., Bravo-Ureta, 1996. "Technical efficiency measures for dairy farms using panel data: a comparison of alternative model specifications," MPRA Paper 37703, University Library of Munich, Germany.
    6. Catherine J. Morrison Paul & Warren E. Johnston & Gerald A. G. Frengley, 2000. "Efficiency in New Zealand Sheep and Beef Farming: The Impacts of Regulatory Reform," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 325-337, May.
    7. 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.
    8. Robert G. Chambers & John Quiggin, 2001. "Decomposing Input Adjustments under Price and Production Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 20-34.
    9. Stijn Reinhard & C.A. Knox Lovell & Geert Thijssen, 1999. "Econometric Estimation of Technical and Environmental Efficiency: An Application to Dutch Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 44-60.
    10. Kumbhakar, Sabul C., 1993. "Production risk, technical efficiency, and panel data," Economics Letters, Elsevier, vol. 41(1), pages 11-16.
    11. Robert G. Chambers & John Quiggin, 1998. "Cost Functions and Duality for Stochastic Technologies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(2), pages 288-295.
    12. G. Battese & A. Rambaldi & G. Wan, 1997. "A Stochastic Frontier Production Function with Flexible Risk Properties," Journal of Productivity Analysis, Springer, vol. 8(3), pages 269-280, August.
    13. Subal C. Kumbhakar & Almas Heshmati, 1995. "Efficiency Measurement in Swedish Dairy Farms: An Application of Rotating Panel Data, 1976–88," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(3), pages 660-674.
    14. Melinda Smale & Jason Hartell & Paul W. Heisey & Ben Senauer, 1998. "The Contribution of Genetic Resources and Diversity to Wheat Production in the Punjab of Pakistan," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 482-493.
    15. 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.
    16. Quiggin, John & Chambers, Robert G, 1998. "Risk Premiums and Benefit Measures for Generalized-Expected-Utility Theories," Journal of Risk and Uncertainty, Springer, vol. 17(2), pages 121-137, November.
    17. 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.
    18. Chambers, Robert G. & Fare, Rolf & Jaenicke, Edward & Lichtenberg, Erik, 1998. "Using dominance in forming bounds on DEA models: The case of experimental agricultural data," Journal of Econometrics, Elsevier, vol. 85(1), pages 189-203, July.
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    Cited by:

    1. Villano, Renato A. & O'Donnell, Christopher J. & Battese, George E., 2005. "An Investigation of Production Risk, Risk Preferences and Technical Efficiency: Evidence From Rainfed Lowland Rice Farms in the Philippines," Working Papers 12953, University of New England, School of Economics.

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