期刊名称：IVM Working Papers / Institute for Environmental Studies, Amsterdam
出版年度：2011
卷号：2011
出版社：Amsterdam
摘要：The choice of the mixing density in random parameter logit models remains a
complex issue. Frequently, trade-offs need to be made between ease of estimation,
shape flexibility and behavioural relevance. We contrast a set of alternative
distributions, including the asymmetric triangular, in a choice experiment on flood
risk exposure and estimate our models in a Bayesian WTP-space framework. Results
show that the triangular distribution can be applied, but is outperformed by the
lognormal distribution in terms of model fit. The Gibbs Sampler reveals that simple
distributional forms are not likely to be consistent with the underlying distribution of
preferences.
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