Theoretical and practical problems arise when Random Utility Models (RUM) of location choice developed for recreational fisheries are applied to model spatial choice in ocean commercial fisheries. To be relevant to actual open-ocean fisheries, discrete-choice models of ocean fisheries should avoid imposing unrealistic assumptions about spatial decision-making while incorporating detailed and flexible geographic scales. An alternative approach based on poisson approximation can be theoretically consistent with RUM while permitting specification of a choice set of almost unlimited spatial detail. Extension to nested and mixed logit models is straightforward. An application of the approach to spatial valuation of the North Pacific groundfish fishery shows that it can produce nearly identical results to those achieved by a conventional logit model. Although harvests are spread over a wide geographic extent, estimated short-run fishery value densities are highly concentrated in a few relatively small regions.
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