Benefit Transfer from Multiple Contingent Experiments: A Flexible Two-Step Model Combining Individual Choice Data with Community Characteristics
This study proposes a new approach to utilize information from existing choice experiments to predict policy outcomes for a transfer setting. Recognizing the difficulties from pooling raw data from experiments with different designs and sub-populations we first re-estimate all underlying Random Utility Models individually, and then combine them in a second stage process to form a weighted mixture density for the generation of policy-relevant welfare estimates. Using data from recent choice experiments on farmland preservation we illustrate that our strategy is more robust to transfer inaccuracies than single-site approaches. The specification of "intelligent" mixture weights will be a fruitful ground for future research in the area of Benefit Transfer.
(This abstract was borrowed from another version of this item.)
Volume (Year): 91 (2009)
Issue (Month): 5 ()
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- Johnston, Robert J. & Duke, Joshua M. & Kukielka, Jessica B., 2008. "Optimizing Farmland Preservation Choices Across Communities and Jurisdictional Scales: To What Extent are Amenity Values and Selection Criteria Transferable?," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6243, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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