Semi-parametric discrete choice measures of willingness to pay

A semi-parametric discrete choice method is proposed to recover welfare measures from individual choice data. The estimation procedure and properties of the proposed welfare estimator are discussed. The proposed method is compared with the traditional binary choice models. An application that measures benefits of recreation trips is presented. Our results suggest that the proposed semi-parametric method adds flexibility to the discrete choice modeling and provides a more precise benefit measure than the traditional parametric methods.

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NOTICE: This is the author's version of a work accepted for publication by Elsevier. Changes resulting from the publishing process, including peer review, editing, corrections, structural formatting and other quality control mechanisms, may not be reflected in this document. Changes may have been made to this work since it was submitted for publication.
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Author Huang, Ju-Chin
Nychka, Douglas
Smith, V.
Publisher UCAR/NCAR - Library
Publication Date 2008-10-01T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T18:25:45.866955
Metadata Record Identifier edu.ucar.opensky::articles:18100
Metadata Language eng; USA
Suggested Citation Huang, Ju-Chin, Nychka, Douglas, Smith, V.. (2008). Semi-parametric discrete choice measures of willingness to pay. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7k35w6s. Accessed 17 July 2025.

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