Predictive Densities for Shire Level Wheat Yield in Western Australia

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.

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Year of publication:	2001-01
Authors:	Griffiths, William E. ; Newton, Lisa S. ; O'Donnell, Christopher J.
Institutions:	Australian Agricultural and Resource Economics Society - AARES
Subject:	Bayesian prediction \| Prediction with uncertain regressors. \| Crop Production/Industries

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Extent:	application/pdf
Series:	2001 Conference (45th), January 23-25, 2001, Adelaide.
Type of publication:	Book / Working Paper
Notes:	The text is part of a series 2001 Conference (45th), January 23-25, 2001, Adelaide, Australia Number 125645
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010881439