IDEAS home Printed from https://ideas.repec.org/p/apl/wpaper/04-21.html
   My bibliography  Save this paper

Willingness-to-Pay for Information: Experiex-post, have been developed to mitigate or eliminate the overstatement of hypothetical willingness to pay. The ex-ante approach addresses hypothetical bias in the survey design stage while the ex-post approach addresses hypothetical bias with follow-up questions to the hypothetical willingness to pay question. We find that willingness to pay estimates are similar when either the ex-ante or ex-post approach is employed. We argue the approaches should be considered as complements and not substitutes. Employing both approaches to mitigate hypothetical bias we estimate that the annual benefits of the regional amenities associated with a green energy program in North Carolina are $186 million

Author

Abstract

No abstract is available for this item.

Suggested Citation

  • David Dickinson & Dee Von Bailey, 2004. "Willingness-to-Pay for Information: Experiex-post, have been developed to mitigate or eliminate the overstatement of hypothetical willingness to pay. The ex-ante approach addresses hypothetical bias i," Working Papers 04-21, Department of Economics, Appalachian State University.
  • Handle: RePEc:apl:wpaper:04-21
    as

    Download full text from publisher

    File URL: http://econ.appstate.edu/RePEc/pdf/wp0421.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Christian A. Vossler & Robert G. Ethier & Gregory L. Poe & Michael P. Welsh, 2003. "Payment Certainty in Discrete Choice Contingent Valuation Responses: Results from a Field Validity Test," Southern Economic Journal, Southern Economic Association, vol. 69(4), pages 886-902, April.
    2. Trudy Ann Cameron, 1991. "Interval Estimates of Non-Market Resource Values from Referendum Contingent Valuation Surveys," Land Economics, University of Wisconsin Press, vol. 67(4), pages 413-421.
    3. John Loomis & Thomas Brown & Beatrice Lucero & George Peterson, 1996. "Improving Validity Experiments of Contingent Valuation Methods: Results of Efforts to Reduce the Disparity of Hypothetical and Actual Willingness to Pay," Land Economics, University of Wisconsin Press, vol. 72(4), pages 450-461.
    4. Jayson L. Lusk, 2003. "Effects of Cheap Talk on Consumer Willingness-to-Pay for Golden Rice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 840-856.
    5. Loomis, John & Ekstrand, Earl, 1998. "Alternative approaches for incorporating respondent uncertainty when estimating willingness to pay: the case of the Mexican spotted owl," Ecological Economics, Elsevier, vol. 27(1), pages 29-41, October.
    6. Rose, Steven K. & Clark, Jeremy & Poe, Gregory L. & Rondeau, Daniel & Schulze, William D., 2002. "The private provision of public goods: tests of a provision point mechanism for funding green power programs," Resource and Energy Economics, Elsevier, vol. 24(1-2), pages 131-155, February.
    7. Karen Blumenschein & Magnus Johannesson & Glenn C. Blomquist & Bengt Liljas & Richard M. O’Conor, 1998. "Experimental Results on Expressed Certainty and Hypothetical Bias in Contingent Valuation," Southern Economic Journal, Southern Economic Association, vol. 65(1), pages 169-177, July.
    8. 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.
    9. Cameron, Trudy Ann, 1988. "A new paradigm for valuing non-market goods using referendum data: Maximum likelihood estimation by censored logistic regression," Journal of Environmental Economics and Management, Elsevier, vol. 15(3), pages 355-379, September.
    10. Blumenschein, Karen & Johannesson, Magnus & Yokoyama, Krista K. & Freeman, Patricia R., 2001. "Hypothetical versus real willingness to pay in the health care sector: results from a field experiment," Journal of Health Economics, Elsevier, vol. 20(3), pages 441-457, May.
    11. Richard T. Carson & W. Michael Hanemann & Raymond J. Kopp & Jon A. Krosnick & Robert Cameron Mitchell & Stanley Presser, 1998. "Referendum Design and Contingent Valuation: The NOAA Panel's No-Vote Recommendation," The Review of Economics and Statistics, MIT Press, pages 335-338.
    12. Cummings, Ronald G & Harrison, Glenn W & Rutstrom, E Elisabet, 1995. "Homegrown Values and Hypothetical Surveys: Is the Dichotomous Choice Approach Incentive-Compatible?," American Economic Review, American Economic Association, vol. 85(1), pages 260-266, March.
    13. 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.
    14. 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.
    15. 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.
    16. Gregory Poe & Jeremy Clark & Daniel Rondeau & William Schulze, 2002. "Provision Point Mechanisms and Field Validity Tests of Contingent Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(1), pages 105-131, September.
    17. 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.
    18. Blumenschein, Karen & Johannesson, Magnus & Blomquist, Glenn C. & Liljas, Bengt & O'Conor, Richard M., 1997. "Hypothetical versus real payments in Vickrey auctions," Economics Letters, Elsevier, vol. 56(2), pages 177-180, October.
    19. 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, January.
    20. Johannesson, Magnus & Blomquist, Glenn C. & Blumenschein, Karen & Johansson, Per-olov & Liljas, Bengt & O'Conor, Richard M., 1999. "Calibrating Hypothetical Willingness to Pay Responses," Journal of Risk and Uncertainty, Springer, vol. 18(1), pages 21-32, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. John C. Whitehead, 2006. "Willingness to Pay for Low Probability, Low Loss Hazard Insurance," Working Papers 06-08, Department of Economics, Appalachian State University.
    2. Groothuis, Peter A. & Groothuis, Jana D. & Whitehead, John C., 2008. "Green vs. green: Measuring the compensation required to site electrical generation windmills in a viewshed," Energy Policy, Elsevier, vol. 36(4), pages 1545-1550, April.
    3. Groothuis, Peter A. & Whitehead, John C., 2009. "The Provision Point Mechanism and Scenario Rejection in Contingent Valuation," Agricultural and Resource Economics Review, Cambridge University Press, vol. 38(02), pages 271-280, October.
    4. John C. Whitehead & Peter A. Groothuis & Rob Southwick & Pat Foster-Turley, 2006. "Economic Values of Saginaw Bay Coastal Marshes," Working Papers 06-10, Department of Economics, Appalachian State University.
    5. Peter A. Groothuis & Jana D. Groothuis & John C. Whitehead, 2006. "The Willingness to Pay to Remove Billboards and Improve Mountain Views," Working Papers 06-04, Department of Economics, Appalachian State University.
    6. Groothuis, Peter A. & Cockerill, Kristan & Mohr, Tanga McDaniel, 2015. "Water does not flow up hill: determinants of willingness to pay for water conservation measures in the mountains of western North Carolina," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 59(C), pages 88-95.
    7. John C. Whitehead & Peter A. Groothuis & Rob Southwick, 2007. "Linking Recreation Demand and Willingness to Pay with the Inclusive Value: Valuation of Saginaw Bay Coastal Marsh," Working Papers 07-09, Department of Economics, Appalachian State University.

    More about this item

    Keywords

    Hypothetical Bias; Willingness to Pay; Green Energy;

    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:apl:wpaper:04-21. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (O. Ashton Morgan). General contact details of provider: http://edirc.repec.org/data/deappus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.