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Estimating and Testing Linear Response and Plateau Functions for Crops in Rotation when Carryover Exists

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  • Wang, Jun
  • Lowenberg-DeBoer, J.

Abstract

Multivariable quadratic and linear response and plateau (LRP) functions were estimated for corn, soybeans and wheat in central Indiana. Statistical tests support the quadratic for corn and soybeans and the LRP for wheat. Fertilizer recommendations derived with the quadratic estimates are substantially higher than those derived with the LRP function.

Suggested Citation

  • Wang, Jun & Lowenberg-DeBoer, J., 1988. "Estimating and Testing Linear Response and Plateau Functions for Crops in Rotation when Carryover Exists," 1988 Annual Meeting, August 1-3, Knoxville, Tennessee 270451, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea88:270451
    DOI: 10.22004/ag.econ.270451
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    References listed on IDEAS

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    1. Davidson, Russell & MacKinnon, James G, 1981. "Several Tests for Model Specification in the Presence of Alternative Hypotheses," Econometrica, Econometric Society, vol. 49(3), pages 781-793, May.
    2. Richard K. Perrin, 1976. "The Value of Information and the Value of Theoretical Models in Crop Response Research," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 58(1), pages 54-61.
    3. Edgar A. Lanzer & Quirino Paris, 1981. "A New Analytical Framework for the Fertilization Problem," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(1), pages 93-103.
    4. Christopher Ackello-Ogutu & Quirino Paris & William A. Williams, 1985. "Testing a von Liebig Crop Response Function against Polynomial Specifications," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 67(4), pages 873-880.
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    1. Rajsic, Predrag & Weersink, Alfons, 2008. "Do farmers waste fertilizer? A comparison of ex post optimal nitrogen rates and ex ante recommendations by model, site and year," Agricultural Systems, Elsevier, vol. 97(1-2), pages 56-67, April.
    2. Peter Berck & Jacqueline Geoghegan & Stephen Stohs, 2000. "A Strong Test of the von Liebig Hypothesis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 948-955.

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