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On Bayesian Composite Forecasting

Author

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  • Bessler, David A.
  • Chamberlain, Peter J.

Abstract

Oftentimes decision makers have several forecasts of an uncertain and operationally relevant random variable. A rich literature now exists which argues that in this situation the decision maker should consider forming a forecast as a weighted average of each of the individual forecasts. In this paper, composite forecasting is discussed in a Bayesian context. The ability of the user to control the impact of the data on his composite weights is illustrated by an example using expert opinion forecasts of U.S. hog prices.

Suggested Citation

  • Bessler, David A. & Chamberlain, Peter J., 1986. "On Bayesian Composite Forecasting," 1986 Annual Meeting, July 27-30, Reno, Nevada 278166, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea86:278166
    DOI: 10.22004/ag.econ.278166
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    References listed on IDEAS

    as
    1. Bunn, Derek W., 1985. "Statistical efficiency in the linear combination of forecasts," International Journal of Forecasting, Elsevier, vol. 1(2), pages 151-163.
    2. Clemon, Robert T & Winkler, Robert L, 1986. "Combining Economic Forecasts," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 39-46, January.
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    Cited by:

    1. Mostaghimi, Mehdi, 1996. "Combining ranked mean value forecasts," European Journal of Operational Research, Elsevier, vol. 94(3), pages 505-516, November.
    2. Luis Manuel León Anaya & Víctor Manuel Landassuri Moreno & Héctor Rafael Orozco Aguirre & Maricela Quintana López, 2018. "Predicción del IPC mexicano combinando modelos econométricos e inteligencia artificial," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 13(4), pages 603-629, Octubre-D.
    3. McIntosh, Christopher S. & Bessler, David A., 1988. "Forecasting Agricultural Prices Using A Bayesian Composite Approach," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 20(2), pages 1-8, December.

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    Keywords

    Livestock Production/Industries; Marketing;

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