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Dynamic Learning And Context-Dependence In Sequential, Attribute-Based Contingent Valuation

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  • Holmes, Thomas P.
  • Boyle, Kevin J.

Abstract

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.

Suggested Citation

  • Holmes, Thomas P. & Boyle, Kevin J., 2004. "Dynamic Learning And Context-Dependence In Sequential, Attribute-Based Contingent Valuation," 2004 Annual meeting, August 1-4, Denver, CO 20014, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea04:20014
    DOI: 10.22004/ag.econ.20014
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    References listed on IDEAS

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