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A penny for your thoughts: Inducing truth-telling in stated preference elicitation

Listed author(s):
  • Barrage, Lint
  • Lee, Min Sok

Contingent valuation often induces hypothetical bias. In a laboratory experiment, we test three calibration mechanisms: cheap-talk, consequentialism, and a new mechanism, the Bayesian truth serum ("BTS"). We apply the BTS in a "faith-based" format: subjects are informed about the purpose and potential efficacy of the BTS, but not its theoretical foundations. We find that real and hypothetical responses differ significantly; real and consequentialist responses are statistically indistinguishable; cheap-talk and the BTS eliminate bias inconsistently; subject characteristics interact significantly with treatment.

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File URL: http://www.sciencedirect.com/science/article/pii/S0165-1765(09)00368-1
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Article provided by Elsevier in its journal Economics Letters.

Volume (Year): 106 (2010)
Issue (Month): 2 (February)
Pages: 140-142

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Handle: RePEc:eee:ecolet:v:106:y:2010:i:2:p:140-142
Contact details of provider: Web page: http://www.elsevier.com/locate/ecolet

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  1. John List & Craig Gallet, 2001. "What Experimental Protocol Influence Disparities Between Actual and Hypothetical Stated Values?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(3), pages 241-254, November.
  2. Richard Carson & Nicholas Flores & Norman Meade, 2001. "Contingent Valuation: Controversies and Evidence," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 19(2), pages 173-210, June.
  3. Cummings, Ronald G, et al, 1997. "Are Hypothetical Referenda Incentive Compatible?," Journal of Political Economy, University of Chicago Press, vol. 105(3), pages 609-621, June.
  4. Shogren, Jason F., 2006. "Experimental Methods and Valuation," Handbook of Environmental Economics,in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 19, pages 969-1027 Elsevier.
  5. Peter A. Diamond & Jerry A. Hausman, 1994. "Contingent Valuation: Is Some Number Better than No Number?," Journal of Economic Perspectives, American Economic Association, vol. 8(4), pages 45-64, Fall.
  6. Craig E. Landry & John A. List, 2007. "Using Ex Ante Approaches to Obtain Credible Signals for Value in Contingent Markets: Evidence from the Field," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 420-429.
  7. List, John A. & Margolis, Michael & Shogren, Jason F., 1998. "Hypothetical-actual bid calibration of a multigood auction," Economics Letters, Elsevier, vol. 60(3), pages 263-268, September.
  8. Ronald G. Cummings & Laura Osborne Taylor, 1998. "Does Realism Matter in Contingent Valuation Surveys?," Land Economics, University of Wisconsin Press, vol. 74(2), pages 203-215.
  9. Brown, Thomas C. & Ajzen, Icek & Hrubes, Daniel, 2003. "Further tests of entreaties to avoid hypothetical bias in referendum contingent valuation," Journal of Environmental Economics and Management, Elsevier, vol. 46(2), pages 353-361, September.
  10. 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.
  11. David Aadland & Arthur J. Caplan, 2003. "Willingness to Pay for Curbside Recycling with Detection and Mitigation of Hypothetical Bias," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 492-502.
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