On dichotomous choice contingent valuation data analysis: Semiparametric methods and Genetic Programming

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@Article{AlvarezDiaz2009,
  author =       "Marcos {Alvarez Diaz} and Manuel Gonzalez Gomez and 
                 Angeles Saavedra Gonzalez and Jacobo {De Una Alvarez}",
  title =        "On dichotomous choice contingent valuation data
                 analysis: Semiparametric methods and Genetic
                 Programming",
  journal =      "Journal of Forest Economics",
  year =         "2010",
  volume =       "16",
  number =       "2",
  pages =        "145--156",
  month =        apr,
  ISSN =         "1104-6899",
  DOI =          "doi:10.1016/j.jfe.2009.02.002",
  URL =          "http://www.sciencedirect.com/science/article/B7GJ5-4XY3F46-1/2/d98566d6ee97a4f7f2c2f1b9deb29bc1",
  keywords =     "genetic algorithms, genetic programming, Dichotomous
                 choice contingent valuation, Genetic program,
                 Parametric techniques, Proportional hazard model",
  size =         "12 pages",
  abstract =     "The aim of this paper is twofold. Firstly, we
                 introduce a novel semi-parametric technique called
                 Genetic Programming to estimate and explain the
                 willingness to pay to maintain environmental conditions
                 of a specific natural park in Spain. To the authors'
                 knowledge, this is the first time in which Genetic
                 Programming is employed in contingent valuation.
                 Secondly, we investigate the existence of bias due to
                 the functional rigidity of the traditional parametric
                 techniques commonly employed in a contingent valuation
                 problem. We applied standard parametric methods (logit
                 and probit) and compared with results obtained using
                 semi parametric methods (a proportional hazard model
                 and a genetic program). The parametric and
                 semiparametric methods give similar results in terms of
                 the variables finally chosen in the model. Therefore,
                 the results confirm the internal validity of our
                 contingent valuation exercise.",
}

Genetic Programming entries for Marcos Alvarez-Diaz Manuel Gonzalez Gomez Angeles Saavedra Gonzalez Jacobo De Una Alvarez

Citations