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Commodity Program Slippage Rates For Corn And Wheat

Author

Listed:
  • Love, H. Alan
  • Foster, William E.

Abstract

Slippage rates for corn and wheat are estimated using a simultaneous system explaining per-acre yields, input usage, technical change, and levels of participation in government programs. Soybeans are included due to cross-compliance requirements and because they substitute for corn in production. Slippage rates for wheat are in the range of 29-37% and for corn in the range of 48-58%. The results imply that efficient design of commodity programs must account for the slippage of aggregate yields due to changes in land quality and the use of constrained resources over fewer acres.

Suggested Citation

  • Love, H. Alan & Foster, William E., 1990. "Commodity Program Slippage Rates For Corn And Wheat," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 0(Number 2), pages 1-10, December.
  • Handle: RePEc:ags:wjagec:32068
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    File URL: http://ageconsearch.umn.edu/record/32068/files/15020272.pdf
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    Citations

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    Cited by:

    1. Foster, William E. & Babcock, Bruce A., 1993. "Commodity Policy, Price Incentives, and the Growth in Per-Acre Yields," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 25(01), pages 253-265, July.
    2. Brandao, Antonio Salazar P. & Martin, Will J., 1993. "Implications of agricultural trade liberalization for the developing countries," Agricultural Economics, Blackwell, vol. 8(4), pages 313-343, June.
    3. Khanna, Madhu & Isik, Murat & Zilberman, David, 2002. "Cost-effectiveness of alternative green payment policies for conservation technology adoption with heterogeneous land quality," Agricultural Economics, Blackwell, vol. 27(2), pages 157-174, August.
    4. Bucholtz, Shawn & Roberts, Michael J., 2002. "Slippage Or Spurious Correlation: An Analysis Of The Conservation Reserve Program," 2002 Annual meeting, July 28-31, Long Beach, CA 19714, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Gordon C. Rausser, 1992. "Predatory versus Productive Government: The Case of U.S. Agricultural Policies," Journal of Economic Perspectives, American Economic Association, vol. 6(3), pages 133-157, Summer.
    6. Choi, Jung-Sup & Helmberger, Peter G., 1993. "How Sensitive Are Crop Yields To Price Changes And Farm Programs?," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 0(Number 1), pages 1-8, July.
    7. Labson, B. Stephen, 1994. "Modeling distortionary aspects of the U.S. wheat program and policy reform," Journal of Policy Modeling, Elsevier, vol. 16(3), pages 237-263, June.
    8. Brandao, Antonio Salazar P. & Martin, Will J., 1993. "Implications of agricultural trade liberalization for the developing countries," Agricultural Economics, Blackwell, vol. 8(4), pages 313-343, June.
    9. Roman Keeney & Thomas W. Hertel, 2008. "U.S. Market Potential For Dried Distillers Grain With Solubles," Working Papers 08-13, Purdue University, College of Agriculture, Department of Agricultural Economics.
    10. Epplin, Francis M., 1997. "Wheat Yield Response To Changes In Production Practices Induced By Program Provision," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 0(Number 2), pages 1-12, December.
    11. Khanna, Madhu & Isik, Murat & Zilberman, David, 2002. "Cost-effectiveness of alternative green payment policies for conservation technology adoption with heterogeneous land quality," Agricultural Economics, Blackwell, vol. 27(2), pages 157-174, August.
    12. Keeney, Roman & Hertel, Thomas W., 2008. "Yield Response To Prices: Implications For Policy Modeling," Working papers 45969, Purdue University, Department of Agricultural Economics.

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    Keywords

    Crop Production/Industries;

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