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The formulation of MOTAD programming models for farm planning using subjectively elicited activity net revenue distributions

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  • J. B. HARDAKER
  • J. L. TRONCOSO

Abstract

If activity net revenue distributions for farm planning under risk are subjectively assessed, the claimed advantages of MOT AD (Minimisation Of Total Absolute Deviation) programming can be reaped only if some way can be found of generating discrete vectors of net revenue deviations. Pseudo-random sampling is evaluated for this purpose and it is shown that, even with relatively large sample sizes, there is an appreciable risk that the MOTAD formulation will yield solutions some distance from the (E, V)-efficient frontier. An alternative procedure is described based on the use of linear programming to define a discrete distribution of outcomes that has means, variances and co-variances similar to those of the elicited joint normal distribution. It is shown that a MOTAD formulation based on a discrete distribution so derived can closely approximate the (E, V) frontier.

Suggested Citation

  • J. B. Hardaker & J. L. Troncoso, 1979. "The formulation of MOTAD programming models for farm planning using subjectively elicited activity net revenue distributions," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 6(1), pages 47-60.
    • Handle: RePEc:oup:erevae:v:6:y:1979:i:1:p:47-60.
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    File URL: http://hdl.handle.net/10.1093/erae/6.1.47
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    Cited by:

    1. Adesina, A. A. & Ouattara, A. D., 2000. "Risk and agricultural systems in northern Cote d'Ivoire," Agricultural Systems, Elsevier, vol. 66(1), pages 17-32, October.
    2. Thampapillai DJ. & Maleka, P. T. & Milimo, J. T., 1992. "Quantification of the trade-offs in Zambia between environment, employment, income and food-security," ILO Working Papers 992880613402676, International Labour Organization.
    3. repec:ilo:ilowps:288061 is not listed on IDEAS

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