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Composed Error Model For Insect Damage Fucntions: Yield Impact Of Rotation Resistant Western Corn Rootworm In Illinois

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  • Mitchell, Paul D.
  • Gray, Michael E.
  • Steffey, Kevin L.

Abstract

This paper describes a composed error model for estimating the conditional distribution of yield loss to serve as an insect damage function. The two-part error separates yield variability due to pest damage from other non-pest factors such as soil heterogeneity, non-uniform application of agronomic practices, and measurement errors. Various common functional forms (linear, quadratic, Cobb-Douglas, negative exponential, hyperbolic, sigmoid) for the pest damage function are presented and parameter estimation is described. As an empirical illustration, the model is used to estimate a damage function for corn rootworm, the most damaging insect pest of corn in the United States. The estimated damage function gives expected proportional yield loss as a function of the root rating difference and is used to estimate yield loss due to rotation resistant western corn rootworm in east-central Illinois. The estimated average yield loss is 11.6%, more than enough to cover the cost of a soil insecticide application. However, tremendous variability in actual loss exists, so that the probability that actual loss is less than the cost of a soil insecticide ranges 32-45%, depending on the assumed yield and price. As a result, IPM methods potentially have great value, since they can eliminate uneconomical soil insecticide applications.

Suggested Citation

  • Mitchell, Paul D. & Gray, Michael E. & Steffey, Kevin L., 2002. "Composed Error Model For Insect Damage Fucntions: Yield Impact Of Rotation Resistant Western Corn Rootworm In Illinois," 2002 Annual meeting, July 28-31, Long Beach, CA 19602, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea02:19602
    DOI: 10.22004/ag.econ.19602
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    References listed on IDEAS

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    1. Pollak, Robert A. & Wales, Terence J., 1991. "The likelihood dominance criterion : A new approach to model selection," Journal of Econometrics, Elsevier, vol. 47(2-3), pages 227-242, February.
    2. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
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    Cited by:

    1. McDonald, Tia Michelle & Keating, Ariel Ruth & Fausti, Scott W. & Li, Jing & Lundgren, Jonathan G. & Catangui, Mike, 2010. "Insecticide Use and Crop Selection: A South Dakota Case Study," Economics Staff Papers 91991, South Dakota State University, Department of Economics.
    2. Alston, Julian M. & Hyde, Jeffrey & Marra, Michele C. & Mitchell, Paul D., 2003. "An Ex Ante Analysis of the Benefits from the Adoption of Corn Rootworm Resistant, Transgenic Corn Technology," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57828, Australian Agricultural and Resource Economics Society.

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