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.


Issue Date:
2004
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/20014
Total Pages:
31
Series Statement:
Selected Paper




 Record created 2017-04-01, last modified 2017-08-22

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