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Controlling starting-point bias in double-bounded contingent valuation surveys

Author

Listed:
  • Emmanuel Flachaire

    () (EUREQua)

  • Guillaume Hollard

    () (OEP - Université de Marne-la-Vallée)

Abstract

In this paper, we study starting point bias in double-bounded contingent valuation surveys. This phenomenon arises in applications that use multiple valuation questions. Indeed, response to follow-up valuation questions may be influenced by the bid proposed in the initial valuation question. Previous researches have been conducted in order to control for such an effect. However, they find that efficiency gains are lost when we control for undesirable response effects, relative to a single dichotomous choice question. Contrary to these results, we propose a way to control for starting point bias in double-bounded questions with gains in efficiency.

Suggested Citation

  • Emmanuel Flachaire & Guillaume Hollard, 2005. "Controlling starting-point bias in double-bounded contingent valuation surveys," Cahiers de la Maison des Sciences Economiques v05076, Université Panthéon-Sorbonne (Paris 1).
    • Handle: RePEc:mse:wpsorb:v05076
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    References listed on IDEAS

    as
    1. Hanemann, W. Michael, 1985. "Some Issues In Continuous - And Discrete - Response Contingent Valuation Studies," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 14(1), April.
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    5. Smith, V. Kerry, 1985. "Some Issues In Discrete Response Contingent Valuation Studies," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 14(1), April.
    6. Herriges, Joseph A. & Shogren, Jason F., 1996. "Starting Point Bias in Dichotomous Choice Valuation with Follow-Up Questioning," Journal of Environmental Economics and Management, Elsevier, vol. 30(1), pages 112-131, January.
    7. Cameron Trudy Ann & Quiggin John, 1994. "Estimation Using Contingent Valuation Data from a Dichotomous Choice with Follow-Up Questionnaire," Journal of Environmental Economics and Management, Elsevier, vol. 27(3), pages 218-234, November.
    8. John C. Whitehead, 2002. "Incentive Incompatibility and Starting-Point Bias in Iterative Valuation Questions," Land Economics, University of Wisconsin Press, vol. 78(2), pages 285-297.
    9. Kahneman, Daniel, 1992. "Reference points, anchors, norms, and mixed feelings," Organizational Behavior and Human Decision Processes, Elsevier, vol. 51(2), pages 296-312, March.
    10. John Crooker & Joseph Herriges, 2004. "Parametric and Semi-Nonparametric Estimation of Willingness-to-Pay in the Dichotomous Choice Contingent Valuation Framework," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 27(4), pages 451-480, April.
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    Cited by:

    1. Emmanuel Flachaire & Guillaume Hollard, 2006. "Une approche comportementale de l'évaluation contingente," Revue économique, Presses de Sciences-Po, vol. 57(2), pages 315-329.
    2. Kang, Heechan & Haab, Timothy C. & Interis, Matthew G., 2013. "Identifying inconsistent responses in dichotomous choice contingent valuation with follow-up questions," Resource and Energy Economics, Elsevier, vol. 35(3), pages 396-411.
    3. Aprahamian, Frederic & Chanel, Olivier & Luchini, Stephane, 2008. "Heterogeneous anchoring and the shift effect in iterative valuation questions," Resource and Energy Economics, Elsevier, vol. 30(1), pages 12-20, January.
    4. Dambala Gelo & Steven F. Koch, 2011. "Contingent Valuation of Community Forestry Programs in Ethiopia: Observing Preference Anomalies in Double-Bounded CVM," Working Papers 201124, University of Pretoria, Department of Economics.
    5. Frédéric Salladarré & Dorothée Brécard & Sterenn Lucas & Pierrick Ollivier, 2016. "Are French consumers ready to pay a premium for eco-labeled seafood products? A contingent valuation estimation with heterogeneous anchoring," Agricultural Economics, International Association of Agricultural Economists, vol. 47(2), pages 247-258, March.
    6. Flachaire, Emmanuel & Hollard, Guillaume, 2007. "Starting point bias and respondent uncertainty in dichotomous choice contingent valuation surveys," Resource and Energy Economics, Elsevier, vol. 29(3), pages 183-194, September.
    7. Pierre-Alexandre Mahieu & Romain Craste & Bengt Kriström & Pere Riera, 2014. "Non-market valuation in France: An overview of the research activity," Working Papers hal-01087365, HAL.
    8. Ghermandi, Andrea & Nunes, Paulo A.L.D., 2013. "A global map of coastal recreation values: Results from a spatially explicit meta-analysis," Ecological Economics, Elsevier, vol. 86(C), pages 1-15.
    9. Nobuyuki Ito & Kenji Takeuchi & Takahiro Tsuge & Atsuo Kishimoto, 2012. "The Motivation behind Behavioral Thresholds: A Latent Class Approach," Economics Bulletin, AccessEcon, vol. 32(3), pages 1831-1847.
    10. Kent F. Kovacs & Douglas M. Larson, 2008. "Identifying Individual Discount Rates and Valuing Public Open Space with Stated-Preference Models," Land Economics, University of Wisconsin Press, vol. 84(2), pages 209-224.
    11. Genius, Margarita & Strazzera, Elisabetta, 2011. "Can unbiased be tighter? Assessment of methods to reduce the bias-variance trade-off in WTP estimation," Resource and Energy Economics, Elsevier, vol. 33(1), pages 293-314, January.
    12. Yamazaki, Satoshi & Rust, Steven & Jennings, Sarah & Lyle, Jeremy & Frijlink, Sven, 2013. "Valuing recreational fishing in Tasmania and assessment of response bias in contingent valuation," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(2), June.
    13. Valatin, Gregory & Moseley, Darren & Dandy, Norman, 2016. "Insights from behavioural economics for forest economics and environmental policy: Potential nudges to encourage woodland creation for climate change mitigation and adaptation?," Forest Policy and Economics, Elsevier, vol. 72(C), pages 27-36.
    14. Hu, Wuyang & Zhong, Funing & Ding, Yulian, 2006. "Actual Media Reports on GM Foods and Chinese Consumers' Willingness to Pay for GM Soybean Oil," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(02), August.
    15. Gelo, Dambala & Koch, Steven F., 2015. "Contingent valuation of community forestry programs in Ethiopia: Controlling for preference anomalies in double-bounded CVM," Ecological Economics, Elsevier, vol. 114(C), pages 79-89.
    16. Armenak Markosyan & Jill J. McCluskey & Thomas I. Wahl, 2009. "Consumer Response to Information about a Functional Food Product: Apples Enriched with Antioxidants," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(3), pages 325-341, September.
    17. Marcella Veronesi & Anna Alberini & Joseph Cooper, 2011. "Implications of Bid Design and Willingness-To-Pay Distribution for Starting Point Bias in Double-Bounded Dichotomous Choice Contingent Valuation Surveys," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(2), pages 199-215, June.
    18. repec:eee:agiwat:v:195:y:2018:i:c:p:133-141 is not listed on IDEAS
    19. Emmanuel Flachaire & Guillaume Hollard, 2007. "Model Selection in Iterative Valuation Questions," Revue d'économie politique, Dalloz, vol. 117(5), pages 853-865.
    20. Kim, GwanSeon & Petrolia, Daniel R. & Interis, Matthew G., 2012. "A Method for Improving Welfare Estimates from Multiple-Referendum Surveys," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(2), August.
    21. Araña, Jorge E. & León, Carmelo J., 2008. "Do emotions matter? Coherent preferences under anchoring and emotional effects," Ecological Economics, Elsevier, vol. 66(4), pages 700-711, July.

    More about this item

    Keywords

    Starting-point bias; contingent valuation.;

    JEL classification:

    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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