Aquat. Living Resour.
Volume 21, Number 3, July-September 2008
Advances in Fisheries Analysis and Modelling
Page(s) 227 - 238
Published online 09 October 2008
  • Agresti A., 1996, An Introduction to Categorical Data Analysis. John Wiley and Sons, Inc.
  • Belsey D., Kuh E., Welsch R., 1980, Regression Diagnostics, John Wiley and Sons, New York.
  • Berk P., Perloff J.M., 1984, An open-access fishery with rational expectations. Econometrica. 52, 489–506. [CrossRef] [MathSciNet]
  • Bjorndal T., Conrad J.M., 1987, The dynamics of an open access fishery. Can. J. Econ. 20, 74–85. [CrossRef]
  • Bockstael N.E., Opaluch, J.J., 1983, Discrete modelling of supply response under uncertainty: The case of the fishery. J. Environ. Econ. Manage. 10, 125–137. [CrossRef]
  • Bockstael N.E., Opaluch, J.J., 1984, Behavioural modelling and fisheries management. Ma. Resour. Econ. 1, 105–115.
  • Boyce J.R., 1995, Optimal Capital accumulation in a fishery: a nonlinear irreversible investment model. J. Environ. Econ. Manage. 28, 324–339. [CrossRef]
  • Clark C.W., Clark F.H., Munro G.R., 1979, The optimal exploitation of renewable resource stocks: problems of irreversible investment. Econometrica 47, 25–47. [CrossRef]
  • del Valle I., Astorkiza, I., Astorkiza K., 2001, Is the current regulation of the VIII division European anchovy optimal? Environ. Resour. Econ. 19, 53–72. [CrossRef]
  • del Valle I., Astorkiza I., Astorkiza K., 2003, Fishing effort validation and substitution possibilities among components: The case study of the VIII division European anchovy fishery. Appl. Econ. 35, 63–77. [CrossRef]
  • del Valle I, Astorkiza I., Astorkiza K., 2008, Prestige's oil spill and its economic effects in the Basque coastal fleet. Communication presented at the XXII ASEPELT Conference, Barcelona.
  • Hensher D.A., Johnson L.W., 1981, Applied Discrete Choice Modelling. John Wiley.
  • Hosmer D.W., Lemeshow S., 1989, Applied Logistic Regression. John Wiley & Sons.
  • Ikiara M.M., Odink J.G., 2000, Fishermen resistance to exit fisheries. Mar. Resour. Econ. 14, 199–213.
  • Greene W., 2000, Econometric Analysis. 4th ed. Prentice-Hall. New Jersey.
  • Kirkley J., Squires D., Strand I.E., 1998, Characterizing managerial skill and technical efficiency in a fishery. J. Product. Anal. 9, 145–60. [CrossRef]
  • McFadden D., 1973, Conditional logit analysis of qualitative choice behaviour. Frontiers in Econometrics.Zarembka (Ed.), New York, Academic Press.
  • Mackinson S., Sumaila U.R., Pitcher T.J., 1997, Bioeconomics and catchability: fish and fishers behaviour during stock collapse. Fish. Res. 31, 11–17. [CrossRef]
  • McKelvey, R., 1985, Decentralized regulation of a common property renewable resource industry with irreversible investment. J. Environ. Econ. Manage. 12, 287–307. [CrossRef] [MathSciNet]
  • Menard S., 2001, Applied Logistic Regression Analysis. Sage Publications. Ser. Quantitative Applications in the Social Sciences, No. 106.
  • Pascoe S., Revill A., 2004, Costs and benefits of bycatch reduction devices in European brown shrimp trawl fisheries. Environ. Resour. Econ. 27, 43–64. [CrossRef]
  • Pradhan N.C. Leung P., 2004, Modeling entry, stay, and exit decisions of the longline ?shers in Hawaii. Mar. Policy. 28, 311–324. [CrossRef]
  • Raftery A.E., 1995, Bayesian model selection in social research. In: Marsden P.V. (Ed.), Sociological Methodology. London: Tavistock, pp. 111–163.
  • Silva L.C., Barroso I.M., 2004, Regresión logística. Cuadernos de Estadística. Editorial La Muralla, Hesperides.
  • Squires D., Kirkley J., 1999, Skipper skill and panel data in fishing industries. Can. J. Fish. Aquat. Sci. 56, 2011–2018. [CrossRef]
  • Ward J.M., Sutinen J.G., 1994, Vessel entry-exit behaviour in the Gulf of Mexico shrimp fishery. Am. J. Econ. 76, 916–923. [CrossRef]

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