Predictive Densities for Shire Level Wheat Yield in Western Australia

William Griffiths (wegrif@unimelb.edu.au), Lisa S. Newton and Christopher O'Donnell

No 125645, 2001 Conference (45th), January 23-25, 2001, Adelaide, Australia from Australian Agricultural and Resource Economics Society

Abstract: Rainfall during the germination, growing and flowering periods is a major determinant of wheat yield. The degree of uncertainty attached to a wheat-yield prediction depends on whether the prediction is made before or after the rainfall in each period has been realised. Bayesian predictive densities that reflect the different levels of uncertainty in wheat-yield predictions made at four different points in time are derived for five shires in Western Australia.

Keywords: Crop; Production/Industries (search for similar items in EconPapers)
Pages: 28
Date: 2001-01
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Citations: View citations in EconPapers (2)

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Working Paper: Predictive Densities for Shire Level Wheat Yield in Western Australia (2008)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aare01:125645

DOI: 10.22004/ag.econ.125645

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