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Estimating a Generalized Gordon-Schaefer Model with Heterogeneous Fishing Data

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Abstract
  • This paper proposes a two-stage method to estimate a generalized Gordon-Schaefer model, using heterogeneous fishing data in the logbook. A Cobb-Douglas production function is consistently estimated in the first stage by means of the ‘within period estimator’. A stock index is constructed and used to estimate the logistic growth model in the second stage. Realizing the estimated stock index contains measurement error, the simulation-extrapolation method is used to correct bias. From this, all parameters as well as the latent stock can be identified. This method is also applied to the reef-fish fishery in the northeastern Gulf of Mexico. The traditional method, which uses catch-per-unit-effort (CPUE) as a proxy and is ignoring measurement error, significantly overstates the carrying capacity and the maximum sustainable yield.
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  • Zhang, Junjie and Martin D. Smith. 2006. Estimating a Generalized Gordon-Schaefer Model with Heterogeneous Fishing Data. 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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  • The National Oceanic & Atmospheric Administration Marine Fisheries Service, United States Department of Commerce (NOAA Fisheries); United Kingdom Department for Environment, Food and Rural Affairs (DEFRA); The United States Agency for International Development supported Aquaculture Collaborative Research and Support Program (ACRSP).
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