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# Statistical modeling of fishing activities in the North Atlantic

## Author

Listed:
• Carmen Fernández
• Eduardo Ley
• Mack F. J. Steel

## 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.)

## Suggested Citation

• Carmen Fernández & Eduardo Ley & Mack F. J. Steel, "undated". "Statistical modeling of fishing activities in the North Atlantic," Working Papers 97-25, FEDEA.
as

File URL: http://documentos.fedea.net/pubs/dt/1997/dt-1997-25.pdf

## 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
Full references (including those not matched with items on IDEAS)

### 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

### NEP fields

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