Explaining Short-Term Choice Through Random Utility Models Public Deposited

http://ir.library.oregonstate.edu/concern/conference_proceedings_or_journals/6969z193q

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  • Fisher behavior can be divided into choices made in the short term (i.e. tactics) and choices made in the long-mid term (i.e. strategies). Random utility modeling (RUM) is well suited for the empirical analysis of these issues. In this paper, RUM is applied to a number of EU fisheries in order to assess the key factors affecting short-term discrete choices with regard to choice of fishing location in European fisheries. In the analyses presented, components of the choice relating to gear, species targeted and the fishing area/ground selected are explored. Four differently structured case studies are considered to develop the discussion: Basque trawlers, English beam trawlers, French trawlers and Danish gillnetters. In the case of the Basque trawlers, a multinomial logit formulation proved suitable to analyze the fishing area (including gear used and target species). For the English beam trawl fleet and French trawlers conditional logit is used, and for the Danish gillnetters a nested logit formulation is developed. Specific attention is given to the identification of explanatory variables incorporated in these analyses. Overall results show that short term behavior models (RUM) are highly capable of predicting the spatial effort distribution of fishing fleets.
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  • Prellezo, Raul, Bo Andersen, Olivier Guyader, Trevor Hutton, Paul Marchal, Simon Mardle and Olivier Thebaud. 2006. Explaining Short-Term Choice Through Random Utility Models. In: Proceedings of the Thirteenth Biennial Conference of the International Institute of Fisheries Economics & Trade, July 11-14, 2006, Portsmouth, UK: Rebuilding Fisheries in an Uncertain Environment. Compiled by Ann L. Shriver. International Institute of Fisheries Economics & Trade, Corvallis, Oregon, USA, 2006. CD ROM. ISBN 0-9763432-3-1
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