Semi-nonparametric distribution-free dichotomous choice contingent valuation
Semi-nonparametric distribution-free dichotomous choice contingent valuation
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DOI：
10.1006/jeem.1997.0972
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发表时间：
1997-03-01
影响因子：
4.6
通讯作者：
Loomis, J
中科院分区：
文献类型：
--
作者：
Creel, M;Loomis, J
本文将二进制离散响应数据的半非参数分布自由估计应用于二分选择条件估值模型的估计。利用该估计量，可以在不对消费者偏好作非理论性假设的情况下，一致地估计出均值、中位补偿方差和等效方差。该方法使用一个或有价值的意愿支付降低风险的风险，由于接触危险废物过早死亡的调查说明。我们发现，一个传统的参数估计和建议的估计提供了类似的估计无条件支付意愿，但有条件的解释变量的估计是相当不同的。(C)北京：科学出版社.
We apply a semi-nonparametric distribution-free estimator for binary discrete response data to the estimation of a dichotomous choice contingent valuation model. Using this estimator, mean and median compensating and equivalent variation can he consistently estimated without making nontheoretically motivated assumptions on consumer' preferences. The approach is illustrated using a contingent valuation survey of willingness to pay for reduction of risk of premature death due to exposure to hazardous waste. We find that a conventional parametric estimator and the proposed estimator give similar estimates of unconditional WTP, but that conditional on explanatory variables the estimates are quite different. (C) 1997 Academic Press.