Bayesian modelling of catch in a Northwest Atlantic Fishery
AbstractThis paper deals with the issue of modelling 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 (EU) in the context of the Northwest Atlantic Fisheries Organization (NAPO). 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 26 possible regressors, resulting in a set of 44 million possible linear regression models for the log of catch. Zero observations are treated separately through a probit model. Prediction of future cathes and poster/or inference will be based on Bayesian model averaging, using a Markov chain Monte Carlo approach. Particular attention is paid to prediction of catch for single and aggregated observations.
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Bibliographic InfoPaper provided by Edinburgh School of Economics, University of Edinburgh in its series ESE Discussion Papers with number 67.
Date of creation: Apr 2004
Date of revision:
Other versions of this item:
- Carmen Fernández & Eduardo Ley & Mark F. J. Steel, 2002. "Bayesian modelling of catch in a north-west Atlantic fishery," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 51(3), pages 257-280.
- Carmen Fernandez & Eduardo Ley & Mark Steel, 2001. "Bayesian Modelling of Catch in a Northwest Atlantic Fishery," Econometrics 0110003, EconWPA, revised 18 Nov 2001.
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
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- 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.
- Min, C.K. & Zellner, A., 1992. ""Bayesian and Non-Bayesian Methods for Combining Models and Forecasts with Applications to Forecasting International Growth Rates"," Papers 90-92-23, California Irvine - School of Social Sciences.
- 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.
- Carmen Fernandez & Eduardo Ley & Mark Steel, 2001.
"Model uncertainty in cross-country growth regressions,"
- Carmen Fernandez & Eduardo Ley & Mark F. J. Steel, 2001. "Model uncertainty in cross-country growth regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(5), pages 563-576.
- Carmen Fernandez & Eduardo Ley & Mark Steel, 1999. "Model uncertainty in cross-country growth regressions," Econometrics 9903003, EconWPA, revised 06 Oct 2001.
- Carmen Fernandez & E Ley & Mark F J Steel, 2004.
"Benchmark priors for Bayesian models averaging,"
ESE Discussion Papers
66, Edinburgh School of Economics, University of Edinburgh.
- Tomberlin, David & Holloway, Garth J., 2006. "Bayesian Ranking and Selection of Fishing Boat Efficiencies," Marine Resource Economics, Marine Resources Foundation, vol. 21(4).
- Irwin Guttman & Daniel Peña & M Dolores Redondas, 2003. "A Bayesian Approach for Predicting with Polynomial Regresión of Unknown Degree," Statistics and Econometrics Working Papers ws032104, Universidad Carlos III, Departamento de Estadística y Econometría.
- Enrique Moral-Benito, 2011.
"Model averaging in economics,"
Banco de EspaÃÂ±a Working Papers
1123, Banco de EspaÃ±a.
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