IDEAS home Printed from https://ideas.repec.org/a/hpe/journl/y2003v164i1p29-47.html
   My bibliography  Save this article

Modelización semiparamétrica y validación teórica del método de valoración contingente. Aplicación de un algoritmo genético

Author

Listed:
  • Marcos Alvarez Díaz

    (Universidad de Vigo)

  • Manuel González Gómez

    (Universidad de Vigo)

Abstract

En este trabajo aplicamos una novedosa técnica capaz de modelizar y predecir la disposición a pagar de un visitante por mantener el actual nivel de protección de tres islas del Parque Nacional de las Illas Atlánticas de Galicia (en concreto, las conocidas como Islas Cíes). El procedimiento, denominado Algoritmo Genético o Evolutivo, está inspirado en la genética y en las teorías darwinianas de supervivencia y selección natural. Los resultados obtenidos se comparan con las técnicas tradicionales tanto en términos de porcentajes de aciertos como en términos de las variables finalmente seleccionadas. Classification-JEL : C14, Q26.

Suggested Citation

  • Marcos Alvarez Díaz & Manuel González Gómez, 2003. "Modelización semiparamétrica y validación teórica del método de valoración contingente. Aplicación de un algoritmo genético," Hacienda Pública Española, IEF, vol. 164(1), pages 29-47, march.
  • Handle: RePEc:hpe:journl:y:2003:v:164:i:1:p:29-47
    as

    Download full text from publisher

    File URL: http://www.ief.es/documentos/recursos/publicaciones/revistas/hac_pub/164_Modelizacion.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Bengt Kristrom, 1990. "A Non-Parametric Approach to the Estimation of Welfare Measures in Discrete Response Valuation Studies," Land Economics, University of Wisconsin Press, vol. 66(2), pages 135-139.
    2. Neely, Christopher & Weller, Paul & Dittmar, Rob, 1997. "Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 32(04), pages 405-426, December.
    3. Pesaran, M Hashem & Timmermann, Allan, 1992. "A Simple Nonparametric Test of Predictive Performance," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 561-565, October.
    4. Salvador Del Saz-Salazar & Leandro Garcia-Menendez, 2001. "Willingness to Pay for Environmental Improvements in a Large City Evidence from The Spike Model and From a Non-Parametric Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(2), pages 103-112, October.
    5. Creel, Michael, 1998. "A Note on Consistent Estimation of Mean WTP Using a Misspecified Logit Contingent Valuation Model," Journal of Environmental Economics and Management, Elsevier, vol. 35(3), pages 277-284, May.
    6. Creel, Michael & Loomis, John, 1997. "Semi-nonparametric Distribution-Free Dichotomous Choice Contingent Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 32(3), pages 341-358, March.
    7. M. A. Kaboudan, 2000. "Genetic Programming Prediction of Stock Prices," Computational Economics, Springer;Society for Computational Economics, vol. 16(3), pages 207-236, December.
    8. Allen, Franklin & Karjalainen, Risto, 1999. "Using genetic algorithms to find technical trading rules," Journal of Financial Economics, Elsevier, vol. 51(2), pages 245-271, February.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    método de valoración contingente; validez teórica; algoritmos genéticos;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hpe:journl:y:2003:v:164:i:1:p:29-47. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ana Belén Miquel Burgos). General contact details of provider: http://edirc.repec.org/data/iefgves.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.