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Resolving questions about bias in real and hypothetical referenda

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  • Anthony Burton
  • Katherine Carson
  • Susan Chilton
  • W. Hutchinson

Abstract

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Suggested Citation

  • Anthony Burton & Katherine Carson & Susan Chilton & W. Hutchinson, 2007. "Resolving questions about bias in real and hypothetical referenda," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 38(4), pages 513-525, December.
    • Handle: RePEc:kap:enreec:v:38:y:2007:i:4:p:513-525
    DOI: 10.1007/s10640-007-9095-6
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    References listed on IDEAS

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    1. James Murphy & P. Allen & Thomas Stevens & Darryl Weatherhead, 2005. "A Meta-analysis of Hypothetical Bias in Stated Preference Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 30(3), pages 313-325, March.
    2. repec:ebl:ecbull:v:3:y:2004:i:6:p:1-13 is not listed on IDEAS
    3. Taylor, Laura O. & McKee, Michael & Laury, Susan K. & Cummings, Ronald G., 2001. "Induced-value tests of the referendum voting mechanism," Economics Letters, Elsevier, vol. 71(1), pages 61-65, April.
    4. 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.
    5. 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.
    6. 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.
    7. Cummings, Ronald G & Elliott, Steven & Harrison, Glenn W & Murphy, James, 1997. "Are Hypothetical Referenda Incentive Compatible?," Journal of Political Economy, University of Chicago Press, vol. 105(3), pages 609-621, June.
    8. V. Kerry Smith, 1999. "Of Birds and Books: More on Hypothetical Referenda," Journal of Political Economy, University of Chicago Press, vol. 107(1), pages 197-200, February.
    9. David Bjornstad & Ronald Cummings & Laura Osborne, 1997. "A Learning Design for Reducing Hypothetical Bias in the Contingent Valuation Method," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 10(3), pages 207-221, October.
    10. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Racevskis, Laila A. & Lupi, Frank, 2008. "Incentive Compatibility in an Attribute-Based Referendum Model," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6477, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Yohei Mitani & Nicholas E. Flores, 2009. "Demand Revelation, Hypothetical Bias, and Threshold Public Goods Provision," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(2), pages 231-243, October.
    3. Nicolas Jacquemet & Robert‐Vincent Joule & Stéphane Luchini & Jason F. Shogren, 2011. "Do People Always Pay Less Than They Say? Testbed Laboratory Experiments with IV and HG Values," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 13(5), pages 857-882, October.
    4. Poe, Gregory L. & Vossler, Christian A., 2009. "Consequentiality and contingent values: an emerging paradigm," MPRA Paper 38864, University Library of Munich, Germany.
    5. Ian J. Bateman & Alistair Munro & Gregory L. Poe, 2008. "Decoy Effects in Choice Experiments and Contingent Valuation: Asymmetric Dominance," Land Economics, University of Wisconsin Press, vol. 84(1), pages 115-127.
    6. Grüner Sven, 2020. "Sample Size Calculation in Economic Experiments," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 240(6), pages 791-823, December.
    7. Nicolas Jacquemet & Alexander James & Stéphane Luchini & Jason F. Shogren, 2017. "Referenda Under Oath," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(3), pages 479-504, July.
    8. Brian C. Payne & Jeffery S. Bredthauer & John A. Martin & Jeffrey C. Merrell, 2016. "Minding the Terrazzo Gap between Athletes and Nonathletes," Journal of Sports Economics, , vol. 17(3), pages 302-320, April.
    9. Stachtiaris, Spiros & Drichoutis, Andreas & Nayga, Rodolfo & Klonaris, Stathis, 2011. "Can religious priming induce truthful preference revelation?," MPRA Paper 34433, University Library of Munich, Germany.
    10. Scott E. Carrell & James E. West, 2010. "Does Professor Quality Matter? Evidence from Random Assignment of Students to Professors," Journal of Political Economy, University of Chicago Press, vol. 118(3), pages 409-432, June.
    11. Higgins, Kieran & Hutchinson, W. George & Longo, Alberto, 2020. "Willingness-to-Pay for Eco-Labelled Forest Products in Northern Ireland: An Experimental Auction Approach," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 87(C).
    12. Mozumder, Pallab & Vásquez, William F. & Marathe, Achla, 2011. "Consumers' preference for renewable energy in the southwest USA," Energy Economics, Elsevier, vol. 33(6), pages 1119-1126.
    13. Pallab Mozumder & Ryan Helton & Robert P. Berrens, 2009. "Provision of a Wildfire Risk Map: Informing Residents in the Wildland Urban Interface," Risk Analysis, John Wiley & Sons, vol. 29(11), pages 1588-1600, November.
    14. Aaron Albert & Nathan Wozny, 2022. "The Impact of Academic Probation: Do Intensive Interventions Help?," Working Papers 2022-02, Department of Economics and Geosciences, US Air Force Academy.
    15. Bateman, Ian J. & Burgess, Diane & Hutchinson, W. George & Matthews, David I., 2008. "Learning design contingent valuation (LDCV): NOAA guidelines, preference learning and coherent arbitrariness," Journal of Environmental Economics and Management, Elsevier, vol. 55(2), pages 127-141, March.
    16. Scott E. Carrell & Richard L. Fullerton & James E. West, 2009. "Does Your Cohort Matter? Measuring Peer Effects in College Achievement," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 439-464, July.
    17. Lloyd-Smith, Patrick & Adamowicz, Wiktor, 2018. "Can stated measures of willingness-to-accept be valid? Evidence from laboratory experiments," Journal of Environmental Economics and Management, Elsevier, vol. 91(C), pages 133-149.
    18. Yohei Mitani & Nicholas Flores, 2014. "Hypothetical Bias Reconsidered: Payment and Provision Uncertainties in a Threshold Provision Mechanism," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(3), pages 433-454, November.
    19. 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.
    20. Collins, Jill P. & Vossler, Christian A., 2009. "Incentive compatibility tests of choice experiment value elicitation questions," Journal of Environmental Economics and Management, Elsevier, vol. 58(2), pages 226-235, September.
    21. repec:dau:papers:123456789/9717 is not listed on IDEAS
    22. Katherine Silz Carson, 2013. "Incentive compatible mechanisms for providing environmental public goods," Chapters, in: John A. List & Michael K. Price (ed.), Handbook on Experimental Economics and the Environment, chapter 15, pages 434-457, Edward Elgar Publishing.

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    More about this item

    Keywords

    Experimental economics; Real referenda; Hypothetical referenda; Demand revelation; Hypothetical bias; Non-market valuation; C91; Q51;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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