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Understanding the consequences of consequentiality: Testing the validity of stated preferences in the field

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  • Vossler, Christian
  • Watson, Sharon

Abstract

This study pursues the external validation of stated preference methods by comparing survey responses from verified voters with the outcome of a parallel public referendum on a conservation and preservation program to be funded by a local property tax surcharge. The majority of respondents were unaware of the upcoming referendum, and the experimental design allows us to control for referenda-related information effects as well as respondents’ perceptions regarding the consequentiality (i.e. the potential policy impact) of their survey votes. We find the survey under-predicts “yes” referendum votes at the precinct-level. These differences go away, however, if we focus only on respondents who perceived their survey vote to be consequential. Negative hypothetical bias among inconsequential survey respondents is also evident in the estimation of willingness to pay, and controlling for consequentiality increases construct validity.

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File URL: http://mpra.ub.uni-muenchen.de/48109/
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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 48109.

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Date of creation: 06 Dec 2012
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Handle: RePEc:pra:mprapa:48109

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Keywords: stated preferences; voting; external validity; consequentiality; field experiment;

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References

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  1. 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.
  2. Schlapfer, Felix, 2006. "Survey protocol and income effects in the contingent valuation of public goods: A meta-analysis," Ecological Economics, Elsevier, vol. 57(3), pages 415-429, May.
  3. Flores, Nicholas E. & Carson, Richard T., 1995. "The Relationship Between the Income Elasticities of Demand and Willingness to Pay," 1995 Conference (39th), February 14-16, 1995, Perth, Australia 148795, Australian Agricultural and Resource Economics Society.
  4. Craig Landry & John List, 2007. "Using ex ante approaches to obtain credible signals for value in contingent markets: Evidence from the field," Framed Field Experiments 00168, The Field Experiments Website.
  5. Vossler, Christian A. & Evans, Mary F., 2009. "Bridging the gap between the field and the lab: Environmental goods, policy maker input, and consequentiality," Journal of Environmental Economics and Management, Elsevier, vol. 58(3), pages 338-345, November.
  6. Champ, Patricia A. & Bishop, Richard C. & Brown, Thomas C. & McCollum, Daniel W., 1997. "Using Donation Mechanisms to Value Nonuse Benefits from Public Goods," Journal of Environmental Economics and Management, Elsevier, vol. 33(2), pages 151-162, June.
  7. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
  8. Vossler, Christian A. & Kerkvliet, Joe, 2003. "A criterion validity test of the contingent valuation method: comparing hypothetical and actual voting behavior for a public referendum," Journal of Environmental Economics and Management, Elsevier, vol. 45(3), pages 631-649, May.
  9. Richard Carson & Theodore Groves, 2007. "Incentive and informational properties of preference questions," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 37(1), pages 181-210, May.
  10. 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.
  11. Richard Carson & Nicholas Flores & Norman Meade, 2001. "Contingent Valuation: Controversies and Evidence," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 19(2), pages 173-210, June.
  12. 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.
  13. Erwin Bulte & Shelby Gerking & John List & Aart de Zeeuw, 2004. "The effect of varying the causes of environmental problems on stated wtp values: Evidence from a field study," Framed Field Experiments 00134, The Field Experiments Website.
  14. Herriges, Joseph A. & Kling, Catherine L. & Liu, Chih-Chen & Tobias, Justin, 2009. "What Are the Consequences of Consequentiality?," Staff General Research Papers 13034, Iowa State University, Department of Economics.
  15. 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.
  16. Frédéric Roy-Vigneault & Daniel Rondeau & Maurice Doyon & Christian A. Vossler, 2010. "Truth in Consequentiality: Theory and Field Evidence on Discrete Choice Experiments," CIRANO Working Papers 2010s-43, CIRANO.
  17. 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.
  18. repec:feb:framed:0073 is not listed on IDEAS
  19. Bulte, E.H. & Gerking, S.D. & List, J.A. & Zeeuw, A.J. de, 2005. "The effect of varying the causes of environmental problems on stated values: Evidence from a field study," Open Access publications from Tilburg University urn:nbn:nl:ui:12-167602, Tilburg University.
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Citations

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Cited by:
  1. John Whitehead & Melissa S. Weddell & Pete Groothuis, 2014. "Mitigating Hypothetical Bias in Stated Preference Data: Evidence from Sports Tourism," Working Papers 14-06, Department of Economics, Appalachian State University.
  2. Loureiro, Maria L. & Rahmani, Djamal, 2013. "Calorie labeling and fast food choices in surveys and actual markets: some new behavioral results," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150622, Agricultural and Applied Economics Association.
  3. Loomis, John B., 2014. "2013WAEA Keynote Address: Strategies for Overcoming Hypothetical Bias in Stated Preference Surveys," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(1), April.

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