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Temperature Probabilities and the Bayesian No Data' Problem

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  • Sporleder, Thomas L.

Abstract

Weather constitutes an exogenous factor in agriculture which may have considerable influence on production and marketing. For a particular commodity, weather may influence quantity produced, quality of the commodity marketed, and consequently influence prices received (or paid) by various firms associated with that commodity system. Although some has been written about the influence of weather on agriculture, little economic analysis is available which attempts to integrate estimated probabilities of some weather phenomenon (a notable exception is McQuigg and Doll). This latter situation may be attributed, at least partially, to the complexities of such an integrative analysis.

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  • Sporleder, Thomas L., 1972. "Temperature Probabilities and the Bayesian No Data' Problem," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 4(1), pages 113-117, July.
    • Handle: RePEc:cup:jagaec:v:4:y:1972:i:01:p:113-117_01
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    References listed on IDEAS

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    1. Pinhas Zusman & Amotz Amiad, 1965. "Simulation: A Tool for Farm Planning under Conditions of Weather Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 47(3), pages 574-594.
    2. Sporleder, Thomas L., 1970. "TEMPROB: A Fortran IV Program for Calculating Temperature Probabilities from Extreme Minimum Temperature Data," Reports 96143, Texas A&M University, Agribusiness, Food, and Consumer Economics Research Center.
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