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Abstract
The supply of water for irrigation is subject to climatic and policy uncertainty. The object
of the present paper is to show how the linear and non-linear programming models
commonly used in modelling problems such as those arising in the Murray–Darling
Basin may be adapted to incorporate a state-contingent representation of uncertainty.
Estimates showing the potential value of improved water use are also derived.