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Using Genetic Algorithms to Estimate and Validate Bioeconomic Models: The Case of the Ibero-atlantic Sardine Fishery

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Journal of Bioeconomics Aims and scope

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The Neo-classical approach to fisheries management is based on designing and applying bioeconomic models. Traditionally, the basic bioeconomic models have used pre-established non-linear functional forms (logistic, Cobb–Douglas) in order to try to reflect the dynamics of the renewable resources under study. This assumption might cause misspecification problems and, in consequence, a loss of predictive ability. In this work we intend to verify if there is a bias motivated by employing the said non-linear parametric perspective. For this purpose, we employ a novel non-linear and non-parametric prediction method, called Genetic Algorithms, and we compare its results with those obtained from the traditional methods.

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Authors and Affiliations

  1. Economics Department, Columbia University, 1022 International Affairs Building, 420 West 118th Street, New York, NY, 10027, USA

    Marcos Álvarez-Diaz

  2. Universidad de Vigo and Fisheries Centre – University of British Columbia, Vancouver

    Marcos Dominquez-Torreiro

Authors
  1. Marcos Álvarez-Diaz
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  2. Marcos Dominquez-Torreiro
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Correspondence to Marcos Álvarez-Diaz.

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Álvarez-Diaz, M., Dominquez-Torreiro, M. Using Genetic Algorithms to Estimate and Validate Bioeconomic Models: The Case of the Ibero-atlantic Sardine Fishery. J Bioecon 8, 55–65 (2006). https://doi.org/10.1007/s10818-005-0494-x

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  • DOI: https://doi.org/10.1007/s10818-005-0494-x

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