Dynamic Learning and Context-Dependence in Sequential, Attribute-Based, Stated-Preference Valuation Questions
نویسنده
چکیده
A hybrid stated-preference model is presented that combines the referendum contingent valuation response format with an experimentally designed set of attributes. A sequence of valuation questions is asked to a random sample in a mailout mail-back format. Econometric analysis shows greater discrimination between alternatives in the final choice in the sequence, and the vector of preference parameters shifts. Lead and lag choice sets have a structural influence on current choices and unobserved factors induce positive correlation across the responses. These results indicate that people learn about their preferences for attributebased environmental goods by comparing attribute levels across choice sets. (JEL Q23, Q26)
منابع مشابه
Dynamic Learning and Context-Dependence in Sequential, Attribute-Based Contingent Valuation
A hybrid stated-preference model is developed that combines the referendum contingent valuation response format with an experimentally designed set of attributes. A sequence of valuation questions is asked to a random sample in a mail-out mail-back format. Econometric analysis shows that willingness to pay for policy attributes is formed dynamically.
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