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Statistical Modelling of Fishing Activities in the North Atlantic

Author

Listed:
  • Fernández, C.
  • Ley, E.
  • Steel, M.F.J.

    (Tilburg University, Center For Economic Research)

Abstract

This paper deals with the issue of modeling daily catches of fishing boats in the Grand Bank fishing grounds. We have data on catches per species for a number of vessels collected by the European Union in the context of the North Atlantic Fisheries Organization. Many variables can be thought to influence the amount caught: a number of ship characteristics ---such as the size of the ship, the fishing technique used, the mesh size of the nets, etc.---, are obvious candidates, but one can also consider the season or the actual location of the catch. In all, our database leads to 23 possible regressors, resulting in a set of $8.4\times 10^6$ possible linear regression models. Prediction of future catches and posterior inference will be based on Bayesian model averaging, using a Markov Chain Monte Carlo Model Composition (MC$^3$) approach. Particular attention is paid to the elicitation of the prior and the prediction of catch for single and aggregated observations.
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Fernández, C. & Ley, E. & Steel, M.F.J., 1997. "Statistical Modelling of Fishing Activities in the North Atlantic," Discussion Paper 1997-111, Tilburg University, Center for Economic Research.
    • Handle: RePEc:tiu:tiucen:20eee0e0-9a7e-40e2-8b1a-b0a3c54ceda9
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    File URL: https://pure.uvt.nl/ws/portalfiles/portal/527907/111.pdf
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    References listed on IDEAS

    as
    1. Eva Ferreira & Fernando Tusell, 1996. "Un modelo aditivo semiparamétrico para estimación de capturas: el caso de las pesquerías de Terranova," Investigaciones Economicas, Fundación SEPI, vol. 20(1), pages 143-157, January.
    2. Fernandez, Carmen & Ley, Eduardo & Steel, Mark F. J., 2001. "Benchmark priors for Bayesian model averaging," Journal of Econometrics, Elsevier, vol. 100(2), pages 381-427, February.
    3. Min, Chung-ki & Zellner, Arnold, 1993. "Bayesian and non-Bayesian methods for combining models and forecasts with applications to forecasting international growth rates," Journal of Econometrics, Elsevier, vol. 56(1-2), pages 89-118, March.
    4. repec:adr:anecst:y:1993:i:32:p:04 is not listed on IDEAS
    5. Jacek Osiewalski & Mark F. J. Steel, 1993. "Regression Models under Competing Covariance Structures: A Bayesian Perspective," Annals of Economics and Statistics, GENES, issue 32, pages 65-79.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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