R Crastes Dit Sourd
A Contingent Valuation Test for Measuring the Construct Validity of Willingness-to-pay Estimates derived from choice-experiments
Crastes Dit Sourd, R; Beaumais, O; Mahieu, P.A; Martinez-Camblor, P; Scarpa, R
Authors
O Beaumais
P.A Mahieu
P Martinez-Camblor
Professor Riccardo Scarpa riccardo.scarpa@durham.ac.uk
Professor
Abstract
We introduce a protocol for measuring the construct validity of competing willingness-to-pay (WTP) distributions derived from mixed logit models. The protocol is based on a two-round survey. Round 1 consists in a standard discrete choice experiment (DCE) sample survey, at the end of which competing models are estimated. Round 2 introduces additional respondents who, in addition to taking part in the DCE, are asked to identify the money value interval that better reflects their preferences using a set of values drawn from the estimated range of WTPs obtained from competing models estimated on the previous sample.
Citation
Crastes Dit Sourd, R., Beaumais, O., Mahieu, P., Martinez-Camblor, P., & Scarpa, R. (2021). A Contingent Valuation Test for Measuring the Construct Validity of Willingness-to-pay Estimates derived from choice-experiments. Land Economics, 97(3), 608-625. https://doi.org/10.3368/wple.97.3.102219-0150r1
Journal Article Type | Article |
---|---|
Acceptance Date | May 20, 2020 |
Online Publication Date | Dec 7, 2021 |
Publication Date | Aug 1, 2021 |
Deposit Date | May 22, 2020 |
Journal | Land Economics |
Print ISSN | 0023-7639 |
Electronic ISSN | 1543-8325 |
Publisher | University of Wisconsin Press |
Peer Reviewed | Peer Reviewed |
Volume | 97 |
Issue | 3 |
Pages | 608-625 |
DOI | https://doi.org/10.3368/wple.97.3.102219-0150r1 |
Public URL | https://durham-repository.worktribe.com/output/1263811 |
You might also like
An empirical analysis of participation in international environmental agreements
(2023)
Journal Article
Is local and organic produce less satiating? Some evidence from a field experiment
(2022)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search