Combining Contingent Valuation and Travel Cost Data for the Valuation of Nonmarket Goods
将条件估值调查数据与旅行成本的实际市场行为数据结合，联合估计效用函数和需求函数的参数，为单一方法不可靠时提供更稳健的估值策略。
The travel cost method (TCM) has long been used to infer the economic value of nonmarket resources and public goods. More recently, contingent valuation (CVM) survey methods have gained popularity for eliciting these values. Here, CVM survey responses are combined with TCM data on actual market behavior to estimate jointly both the parameters of the underlying utility function and its corresponding ordinary demand function. This is a prototypical empirical example of a new modeling strategy, variants of which should prove useful in many applications, especially where reliance on a single valuation method is undesirable.