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A Comparison of Approaches to Mitigate Hypothetical Bias

Published online by Cambridge University Press:  15 September 2016

Patricia A. Champ
Affiliation:
Rocky Mountain Research Station, U.S. Forest Service, in Fort Collins, Colorado
Rebecca Moore
Affiliation:
Warnell School of Forestry and Natural Resources at the University of Georgia in Athens, Georgia
Richard C. Bishop
Affiliation:
Department of Agricultural and Applied Economics at the University of Wisconsin in Madison, Wisconsin, and a consultant at Stratus Consulting Inc. in Boulder, Colorado, and Washington, D.C.
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Abstract

We compare two approaches to mitigating hypothetical bias. The study design includes three treatments: an actual payment treatment, a contingent valuation (CV) treatment with a follow-up certainty question, and a CV treatment with a cheap talk script. Our results suggest that both the follow-up certainty treatment and the cheap talk treatment produce willingness-to-pay (WTP) estimates consistent with the actual payment treatment. However, the follow-up certainty treatment provides response distributions at all offer amounts that are statistically similar to the actual payment treatment, while the cheap talk treatment provides similar responses only at some offer amounts. Furthermore, the cheap talk treatment is effective only for inexperienced individuals. We conclude that the follow-up certainty approach is more consistent than the cheap talk approach for eliminating hypothetical bias.

Type
Contributed Papers
Copyright
Copyright © 2009 Northeastern Agricultural and Resource Economics Association 

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References

Aadland, D., and Caplan, A.J. 2003. “Willingness to Pay for Curbside Recycling with Detection and Mitigation of Hypothetical Bias.” American Journal of Agricultural Economics 85(2): 492502.Google Scholar
Aadland, D., and Caplan, A.J. 2005. “Cheap Talk Reconsidered: New Evidence from CVM.” Journal of Economic Behavior and Organization 60(4): 562578.Google Scholar
Blumenschein, K., Blomquist, G.C., Johannesson, M., Horn, N., and Freeman, P. 2008. “Eliciting Willingness to Pay without Bias: Evidence from a Field Experiment.” The Economic Journal 118(1): 114137.CrossRefGoogle Scholar
Blumenschein, K., Johannesson, M., Blomquist, G.C., Liljas, B., and O’Conor, R.M. 1998. “Experimental Results on Expressed Certainty and Hypothetical Bias in Contingent Valuation.” Southern Economic Journal 65(1): 169177.Google Scholar
Brown, T.C., Ajzen, I., and Hrubes, D. 2003. “Further Tests of Entreaties to Avoid Hypothetical Bias in Referendum Contingent Valuation.” Journal of Environmental Economics and Management 46(2): 353361.Google Scholar
Champ, P.A., and Bishop, R.C. 2001. “Donation Payment Mechanisms and Contingent Valuation: An Empirical Study of Hypothetical Bias.” Environmental and Resource Economics 19(4): 383402.Google Scholar
Champ, P.A., Bishop, R.C., Brown, T.C., and McCollum, D.W. 1997. “Using Donation Mechanisms to Value Nonuse Benefits from Public Goods.” Journal of Environmental Economics and Management 33(2): 151162.CrossRefGoogle Scholar
Champ, P.A., Flores, N.E., Brown, T.C., and Chivers, J. 2002. “Contingent Valuation and Incentives.” Land Economics 78(4): 591604.CrossRefGoogle Scholar
Cummings, R.G., and Taylor, L.O. 1999. “Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method.” American Economic Review 89(3): 649665.CrossRefGoogle Scholar
Ethier, R.G., Poe, G.L., Schulze, W.D., and Clark, J. 2000. “A Comparison of Hypothetical Phone and Mail Contingent Valuation Responses for Green-Pricing Electricity Programs.” Land Economics 76(1): 5467.CrossRefGoogle Scholar
Johannesson, M., Blomquist, G.C., Blumenschein, K., Johansson, P.-O., Liljas, B., and O’Conor, R.M. 1999. “Calibrating Hypothetical Willingness to Pay Responses.” Journal of Risk and Uncertainty 18(1): 2132.Google Scholar
Li, C.-Z., and Mattsson, L. 1995. “Discrete Choice under Preference Uncertainty: An Improved Structural Model for Contingent Valuation.” Journal of Environmental Economics and Management 28(2): 256269.Google Scholar
List, J.A. 2001. “Do Explicit Warnings Eliminate the Hypothetical Bias in Elicitation Procedures? Evidence from Field Auctions for Sportscards.” The American Economic Review 91(5): 14981507.Google Scholar
List, J.A., and Gallet, C.A. 2001. “What Experimental Protocol Influences Disparities Between Actual and Hypothetical Stated Values?Environmental and Resource Economics 20(3): 241254.Google Scholar
Little, J., and Berrens, R. 2003. “Explaining Disparities between Actual and Hypothetical Stated Values: Further Investigation Using Meta-Analysis.Economics Bulletin 3(6): 113.Google Scholar
Lusk, J.L. 2003. “Effects of Cheap Talk on Consumer Willingness-to-Pay for Golden Rice.” American Journal of Agricultural Economics 85(4): 840856.Google Scholar
Moore, R. 2006. “Essays on Non-market Valuation: Innovations in Theory and Methods.” Ph.D. dissertation, University of Wisconsin-Madison, WI.Google Scholar
Murphy, J.J., Allen, P.G., Stevens, T.H., and Weatherhead, D. 2005. “A Meta-Analysis of Hypothetical Bias in Stated Preference Valuation.” Environmental and Resource Economics 30(3): 313325.Google Scholar
Murphy, J.J., Stevens, T.H., and Weatherhead, D. 2005. “Is Cheap Talk Effective at Eliminating Hypothetical Bias in a Provision Point Mechanism?Environmental and Resource Economics 30(3): 327343.Google Scholar
Norwood, F.B. 2005. “Can Calibration Reconcile Stated and Observed Preferences?Journal of Agricultural and Applied Economics 37(1): 237248.Google Scholar
Norwood, F.B., Lusk, J.L., and Boyer, T. 2008. “Forecasting Hypothetical Bias: A Tale of Two Calibrations.” In Cherry, T.L., Kroll, S., and Shogren, J.F., eds., Environmental Economics, Experimental Methods. New York: Routledge.Google Scholar
Ready, R.C., Whitehead, J.C., and Blomquist, G.C. 1995. “Contingent Valuation When Respondents Are Ambivalent.” Journal of Environmental Economics and Management 29(2): 181196.Google Scholar
Samnaliev, M., Stevens, T.H., and More, T. 2006. “A Comparison of Alternative Certainty Calibration Techniques in Contingent Valuation.” Ecological Economics 57(3): 507519.Google Scholar
Shaikh, S.L., Sun, L., and van Kooten, G.C. 2007. “Treating Respondent Uncertainty in Contingent Valuation: A Comparison of Empirical Treatments.” Ecological Economics 62(1): 115125.CrossRefGoogle Scholar
Welsh, M.P., and Poe, G.L. 1998. “Elicitation Effects in Contingent Valuation: Comparisons to a Multiple Bounded Discrete Choice Approach.” Journal of Environmental Economics and Management 36(2): 170185.Google Scholar