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This RePEc Biblio topic is edited by John C. Whitehead . It was first published on 2013-02-26 11:05:48 and last updated on 2013-02-26 14:10:51.
Most relevant JEL codes
- Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
Most relevant research
- Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
- John List & Craig Gallet, 2001. "What Experimental Protocol Influence Disparities Between Actual and Hypothetical Stated Values?," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 20(3), pages 241-254, November.
- Patricia Champ & Richard Bishop, 2001. "Donation Payment Mechanisms and Contingent Valuation: An Empirical Study of Hypothetical Bias," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 19(4), pages 383-402, August.
- James Murphy & P. Allen & Thomas Stevens & Darryl Weatherhead, 2005. "A Meta-analysis of Hypothetical Bias in Stated Preference Valuation," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 30(3), pages 313-325, 03.
- John A. List, 2001.
"Do Explicit Warnings Eliminate the Hypothetical Bias in Elicitation Procedures? Evidence from Field Auctions for Sportscards,"
American Economic Review,
American Economic Association, vol. 91(5), pages 1498-1507, December.
- John List, 2001. "Do explicit warnings eliminate the hypothetical bias in elicitation procedures? Evidence from field auctions for sportscards," Framed Field Experiments 00163, The Field Experiments Website.
- Johnston, Robert J., 2006. "Is hypothetical bias universal? Validating contingent valuation responses using a binding public referendum," Journal of Environmental Economics and Management, Elsevier, vol. 52(1), pages 469-481, July.
- Joseph Little & Robert Berrens, 2004. "Explaining Disparities between Actual and Hypothetical Stated Values: Further Investigation Using Meta-Analysis," Economics Bulletin, AccessEcon, vol. 3(6), pages 1-13.
- Johannesson, Magnus, et al, 1999. "Calibrating Hypothetical Willingness to Pay Responses," Journal of Risk and Uncertainty, Springer, vol. 18(1), pages 21-32, April.
- Karen Blumenschein & GlennC. Blomquist & Magnus Johannesson & Nancy Horn & Patricia Freeman, 2008. "Eliciting Willingness to Pay Without Bias: Evidence from a Field Experiment," Economic Journal, Royal Economic Society, vol. 118(525), pages 114-137, 01.
- Vossler, Christian A. & Kerkvliet, Joe & Polasky, Stephen & Gainutdinova, Olesya, 2003. "Externally validating contingent valuation: an open-space survey and referendum in Corvallis, Oregon," Journal of Economic Behavior & Organization, Elsevier, vol. 51(2), pages 261-277, June.
- Herriges, Joseph & Kling, Catherine & Liu, Chih-Chen & Tobias, Justin, 2010. "What are the consequences of consequentiality?," Journal of Environmental Economics and Management, Elsevier, vol. 59(1), pages 67-81, January.
- John Loomis, 2011. "What'S To Know About Hypothetical Bias In Stated Preference Valuation Studies?," Journal of Economic Surveys, Wiley Blackwell, vol. 25(2), pages 363-370, 04.
- Thomas C. Brown & Patricia A. Champ & Richard C. Bishop & Daniel W. McCollum, 1996. "Which Response Format Reveals the Truth about Donations to a Public Good?," Land Economics, University of Wisconsin Press, vol. 72(2), pages 152-166.
- Schlapfer, Felix & Roschewitz, Anna & Hanley, Nick, 2004. "Validation of stated preferences for public goods: a comparison of contingent valuation survey response and voting behaviour," Ecological Economics, Elsevier, vol. 51(1-2), pages 1-16, November.
- Whitehead, John C. & Cherry, Todd L., 2007. "Willingness to pay for a Green Energy program: A comparison of ex-ante and ex-post hypothetical bias mitigation approaches," Resource and Energy Economics, Elsevier, vol. 29(4), pages 247-261, November.