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Cooperation and Cheating

Author

Listed:
  • Cross, Robin M.
  • Buccola, Steven T.
  • Thomann, Enrique A.

Abstract

In this article, we extend the variable delivery claim framework (Cross, Buccola, and Thomann, 2006) to examine the option-to-cheat, that is, the option to shift production between contracts ex post. We use this framework to provide a solution to the age-old conflict between enforcement and the cooperative tradition of providing a "home" for member produce. We show that, in contrast to Nourse's competitive yardstick hypothesis, the value of the cooperative-provided option increases as market competition intensifies. When the option-to-cheat is fairly-priced, it is Pareto improving, increasing grower returns, lowering cooperative per-unit costs and reducing contract shortfalls for investor-owned rivals at no additional per-unit cost. Our valuation framework is consistent with replication-based equilibria and is free from parametric specification of individual preference or firm cost structure.

Suggested Citation

  • Cross, Robin M. & Buccola, Steven T. & Thomann, Enrique A., 2006. "Cooperation and Cheating," 2006 Annual meeting, July 23-26, Long Beach, CA 21158, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea06:21158
    DOI: 10.22004/ag.econ.21158
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    References listed on IDEAS

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    1. Boyle, Phelim & Broadie, Mark & Glasserman, Paul, 1997. "Monte Carlo methods for security pricing," Journal of Economic Dynamics and Control, Elsevier, vol. 21(8-9), pages 1267-1321, June.
    2. Peralta, Susana & Wauthy, Xavier & van Ypersele, Tanguy, 2006. "Should countries control international profit shifting?," Journal of International Economics, Elsevier, vol. 68(1), pages 24-37, January.
    3. Kemna, A. G. Z. & Vorst, A. C. F., 1990. "A pricing method for options based on average asset values," Journal of Banking & Finance, Elsevier, vol. 14(1), pages 113-129, March.
    4. Giannakas, Konstantinos, 2004. "Conservation Compliance on Highly Erodible Lands," Cornhusker Economics 306362, University of Nebraska-Lincoln, Department of Agricultural Economics.
    5. Harrison, J. Michael & Pliska, Stanley R., 1981. "Martingales and stochastic integrals in the theory of continuous trading," Stochastic Processes and their Applications, Elsevier, vol. 11(3), pages 215-260, August.
    6. Robin Cross & Steven Buccola, 2004. "Adapting Cooperative Structure to the New Global Environment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(5), pages 1254-1261.
    7. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    8. Nourse, Edwin G., 1992. "The Place of the Cooperative in Our National Economy," Journal of Agricultural Cooperation, National Council of Farmer Cooperatives, vol. 7, pages 1-6.
    9. Malik, Arun S., 2002. "Further Results on Permit Markets with Market Power and Cheating," Journal of Environmental Economics and Management, Elsevier, vol. 44(3), pages 371-390, November.
    10. Konstantinos Giannakas & Jonathan D. Kaplan, 2005. "Policy Design and Conservation Compliance on Highly Erodible Lands," Land Economics, University of Wisconsin Press, vol. 81(1).
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