@article{Kragt:144447,
      recid = {144447},
      author = {Kragt, Marit Ellen},
      title = {Comparing models of unobserved heterogeneity in  environmental choice experiments},
      address = {2013-02-10},
      number = {1784-2016-141848},
      series = {Working Paper},
      pages = {24},
      month = {Feb},
      year = {2013},
      abstract = {Choice experiments have become a widespread approach to  non-market environmental valuation. Given the vast range of  public opinions towards environmental management changes,  it is desirable that analysis of discrete choice data  accounts for the possibility of unobserved heterogeneity  amongst the population. There is, however, no consensus  about the best way to model individual heterogeneity. This  paper presents four approaches to modelling heterogeneity  that are increasingly used in the literature. Latent class,  mixed logit, scaled multinomial logit and generalised mixed  logit (GMXL) models are estimated using case study data for  catchment environmental management in Australia. A GMXL  model that accounts for preference and scale heterogeneity  performs best. I evaluate the impacts of models on welfare  estimates and discuss the merits of each modelling  approach.},
      url = {http://ageconsearch.umn.edu/record/144447},
      doi = {https://doi.org/10.22004/ag.econ.144447},
}