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Estimation of Flexibility Coefficients for Recursive Programming Models—Alternative Approaches

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  • R. K. Sahi
  • W. J. Craddock

Abstract

This paper presents a critical evaluation of some methods commonly used in estimating flexibility coefficients for recursive programming models. It also suggests an alternative procedure for estimating coefficients that vary from year to year depending upon economic and noneconomic conditions. This method was found empirically superior to some previous approaches.

Suggested Citation

  • R. K. Sahi & W. J. Craddock, 1974. "Estimation of Flexibility Coefficients for Recursive Programming Models—Alternative Approaches," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 56(2), pages 344-350.
    • Handle: RePEc:oup:ajagec:v:56:y:1974:i:2:p:344-350.
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    File URL: http://hdl.handle.net/10.2307/1238766
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    Cited by:

    1. Nevala, M., 1977. "On methods for forecasting production aid consumption of agricultural products," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 40.
    2. Unterschultz, James R. & Jeffrey, Scott R. & Quagrainie, Kwamena K., 2000. "Value-Adding 20 Billion By 2005: Impact At The Alberta Farm Gate," Project Report Series 24049, University of Alberta, Department of Resource Economics and Environmental Sociology.
    3. Walker, Neal & Monypenny, Richard, 1976. "Linear Programming As A Tool For Agricultural Sector Analysis," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 44(04), pages 1-14, December.
    4. Quagrainie, Kwamena K. & Unterschultz, James R. & Jeffrey, Scott R., 2000. "The Impact Of Post-Farmgate Value-Adding On Western Canadian Agriculture," 2000 Annual Meeting, June 29-July 1, 2000, Vancouver, British Columbia 36379, Western Agricultural Economics Association.

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