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A Dynamic Explanation of the Willingness to Pay and Willingness to Accept Disparity

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  • Kling, Catherine L.
  • List, John
  • Zhao, Jinhua

Abstract

Evidence from laboratory experiments suggests that important disparities exist between willingness to pay (WTP) and compensation demanded for the same good. This study advances, and experimentally tests, a new explanation of the WTP/WTA disparity--a dynamic theory based on the presence of commitment costs. We find that the commitment cost theory combined with a simple behavioral anomaly is able to lend insights into the causes and severity of the WTA/WTP disparity. Further, we find that market experience attenuates the behavioral anomaly, consistent with the notion that no value disparity exists for agents with sufficient market experience.
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(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Kling, Catherine L. & List, John & Zhao, Jinhua, 2011. "A Dynamic Explanation of the Willingness to Pay and Willingness to Accept Disparity," Staff General Research Papers Archive 33896, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genres:33896
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    References listed on IDEAS

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    11. John A. List, 2002. "Preference Reversals of a Different Kind: The "More Is Less" Phenomenon," American Economic Review, American Economic Association, vol. 92(5), pages 1636-1643, December.
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    Citations

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    Cited by:

    1. Lunn, Pete & Lunn, Mary, 2014. "A Computational Theory of Willingness to Exchange," Papers WP477, Economic and Social Research Institute (ESRI).
    2. Bazzani, Claudia & Caputo, Vincenzina & Nayga, Rodolfo M. & Canavari, Maurizio, 2015. "Testing commitment cost in food choices: a non-hypothetical choice experiment approach," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205235, Agricultural and Applied Economics Association.
    3. Claudia Bazzani & Vincenzina Caputo & Rodolfo M. Nayga JR. & Maurizio Canavari, 2017. "Testing Commitment Cost Theory In Choice Experiments," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 383-396, January.
    4. Lunn,Pete & Lunn, Mary, 2014. "What Can I Get For It? The Relationship Between the Choice Equivalent, Willingness to Accept and Willingness to Pay," Papers WP479, Economic and Social Research Institute (ESRI).
    5. Jha, Pushkar. P. & Bhalla, Ajay, 2018. "Life of a PAI: Mediation by willingness and ability for beneficiary community engagement," World Development Perspectives, Elsevier, vol. 9(C), pages 27-34.
    6. Amoah, Anthony & Ferrini, Silvia & Schaafsma, Marije, 2019. "Electricity outages in Ghana: Are contingent valuation estimates valid?," Energy Policy, Elsevier, vol. 135(C).
    7. John A. List & Michael K. Price, 2013. "Using Field Experiments in Environmental and Resource Economics," NBER Working Papers 19289, National Bureau of Economic Research, Inc.
    8. Lee, Ji Yong & Nayga, Rodolfo M. & Deck, Cary & Drichoutis, Andreas, 2017. "Cognitive Ability and Bidding Behavior in Experimental Auction," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258347, Agricultural and Applied Economics Association.
    9. Yan, Jinming & Yang, Yumeng & Xia, Fangzhou, 2021. "Subjective land ownership and the endowment effect in land markets: A case study of the farmland “three rights separation” reform in China," Land Use Policy, Elsevier, vol. 101(C).
    10. Gioacchino Pappalardo & Roberta Selvaggi & Salvatore Bracco & Gaetano Chinnici & Biagio Pecorino, 2018. "Factors affecting purchasing process of digestate: evidence from an economic experiment on Sicilian farmers’ willingness to pay," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 6(1), pages 1-12, December.
    11. Artem Korzhenevych & Charles Kofi Owusu, 2021. "Renewable Minigrid Electrification in Off-Grid Rural Ghana: Exploring Households Willingness to Pay," Sustainability, MDPI, vol. 13(21), pages 1-17, October.

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    More about this item

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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