Welfare Evaluations in Contingent Valuation Experiments with Discrete Responses
探讨如何构建与效用最大化假设一致的logit模型，并从拟合模型中推导补偿剩余和等价剩余，利用Bishop和Heberlein的数据估计两种福利指标。
Abstract Since the work of Bishop and Heberlein, a number of contingent valuation experiments have appeared involving discrete responses which are analyzed by logit or similar techniques. This paper addresses the issues of how the logit models should be formulated to be consistent with the hypothesis of utility maximization and how measures of compensating and equivalent surplus should be derived from the fitted models. Two distinct types of welfare measures are introduced and then estimated from Bishop and Heberlein's data.