Nonparametric Estimation of Mean Willingness to Pay from Discrete Response Valuation Data
提出一种非参数方法，在特定投标分布假设下，能轻松一致地估计无条件平均支付意愿，并开发了用线性投影估计条件平均支付意愿的最佳线性预测器，适用于单界、双界条件估值及部分选择实验。
This article develops a nonparametric method to consistently estimate mean willingness to pay (WTP) in various discrete response valuation methods. The advantage of this method is that it can consistently estimate unconditional mean WTP with astonishing ease under some assumptions of the bid distribution. In addition, we develop a method for estimating the best linear predictor for conditional mean WTP using a linear projection. This method is applicable to single‐bounded and double‐bounded contingent valuation, and some forms of choice experiment.