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Combining Economic And Biological Data To Estimate The Impact Of Pollution On Crop Production

Author

Listed:
  • Dixon, Bruce L.
  • Garcia, Philip
  • Adams, Richard M.
  • Mjelde, James W.

Abstract

Duality methods utilizing a profit function framework are employed to estimate the output elasticity of ambient ozone levels on cash grain farms in Illinois. While duality methods have been recommended as a cure to many of the statistical problems of direct estimation of production functions, multicollinearity may still be a problem. A method for utilizing stochastic information on parameters of a seemingly unrelated system of equations, which is implied by profit function estimation, is developed and applied to measuring the impact of ozone. Such an approach may be necessary in measuring other environmental effects because of a lack of regressor variability.

Suggested Citation

  • Dixon, Bruce L. & Garcia, Philip & Adams, Richard M. & Mjelde, James W., 1984. "Combining Economic And Biological Data To Estimate The Impact Of Pollution On Crop Production," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 9(2), pages 1-10, December.
    • Handle: RePEc:ags:wjagec:32140
    DOI: 10.22004/ag.econ.32140
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    File URL: https://ageconsearch.umn.edu/record/32140/files/09020293.pdf
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    References listed on IDEAS

    as
    1. Philip Garcia & Steven T. Sonka & Man Sik Yoo, 1982. "Farm Size, Tenure, and Economic Efficiency in a Sample of Illinois Grain Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 64(1), pages 119-123.
    2. Yotopoulos, Pan A & Lau, Lawrence J, 1973. "A Test for Relative Economic Efficiency: Some Further Results," American Economic Review, American Economic Association, vol. 63(1), pages 214-223, March.
    3. Adams, Richard M. & McCarl, Bruce A., 1985. "Assessing the benefits of alternative ozone standards on agriculture: The role of response information," Journal of Environmental Economics and Management, Elsevier, vol. 12(3), pages 264-276, September.
    4. Judge, G. G. & Yancey, T. A. & Bock, M. E., 1973. "Properties of estimators after preliminary tests of significance when stochastic restrictions are used in regression," Journal of Econometrics, Elsevier, vol. 1(1), pages 29-47, March.
    5. Fuss, Melvyn & McFadden, Daniel (ed.), 1978. "Production Economics: A Dual Approach to Theory and Applications," Elsevier Monographs, Elsevier, edition 1, number 9780444850133.
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    Cited by:

    1. Mjelde, James W. & Hollinger, Steven E., 1987. "Development of Climate Indices for Application in Empirical Crop Production Studies," Staff Paper Series 257982, Texas A&M University, Department of Agricultural Economics.

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