Allowing for Zeros in Dichotomous-Choice Contingent-Valuation Models
提出一种混合分布模型处理二分选择条件估值数据，允许最低支付意愿类别中包含零值或小正值，相比标准模型大幅降低平均支付意愿估计值，并发现收入等协变量对正支付意愿部分更显著。
Dichotomous-choice contingent-valuation data are modeled using a mixture distribution. The standard parametric survival model is modified such that respondents in the lowest willingness-to-pay category may have either zero willingness to pay or a small positive willingness to pay. In comparison to the standard model, the mixture model leads to a dramatic reduction in estimates of mean willingness to pay. Covariates such as income are found to be more significant in determining the positive portion of the distribution of willingness to pay.