A Semiparametric Distribution for Willingness to Pay and Statistical Inference with Dichotomous Choice Contingent Valuation Data
提出一种支付意愿的半参数分布，并讨论二分选择条件估值数据的统计推断，包括参数估计、均值和中位数估计及模型检验。应用表明半参数模型优于参数模型，且能更稳健地估计平均支付意愿。
Abstract This paper proposes a semiparametric willingness to pay distribution and discusses several aspects of statistical inference with dichotomous choice contingent valuation data. We study likelihood‐based estimation of the model parameters with and without controlling for unobserved heterogeneity, estimation of the mean and median willingness to pay, and specification tests. These statistical procedures are implemented using a data set. In this application we find that a parametric model is rejected in favor of our semiparametric model, that the heterogeneity can be adequately controlled using a simple density, and that the semiparametric model offers more robust mean willingness to pay estimates.