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A comparison of prospect theory in WTP and preference space

Author

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  • John M. Rose

    (Institute of Transport and Logistics Studies (ITLS), The University of Sydney, Australia)

  • Lorenzo Masiero

    (Istituto Ricerche Economiche (IRE), Università della Svizzera Italiana, Svizzera)

Abstract

The importance of willingness to pay (WTP) and willingness to accept (WTA) measures in the evaluation of policy measures has led to a constant stream of research examining survey methods and model specifications seeking to capture and explain the concept of marginal rates of substitution as much as possible. Stated choice experiments pivoted around a reference alternative allow the specification of discrete choice models to accommodate the prospect theory reference dependence assumption. This permits an investigation of theories related to loss aversion and diminishing sensitivity, and to test the discrepancy between WTP and WTA, widely documented within the literature. With more advanced classes of discrete choice models at our disposal, it is now possible to test different preference specifications that are better able to measure WTP and WTA values. One such model allowing for utility to be directly specified in WTP space has recently shown interesting qualities. This paper compares and contrasts models estimated in preference space to those estimated in WTP space allowing for asymmetry in the marginal utilities by estimating different parameters according to reference, gain and loss values. The results suggest a better model fit for the data estimated in WTP space, contradicting the findings of previous researches. The parameter estimates report significant evidence of loss aversion and diminishing sensitivities even though the symmetric specification outperforms the asymmetric ones. Finally, the analysis of the WTP and WTA measures confirms the higher degree of WTA compared to WTP, and highlights the appeal of the WTP space specification in terms of plausibility of the estimated measures.

Suggested Citation

  • John M. Rose & Lorenzo Masiero, 2010. "A comparison of prospect theory in WTP and preference space," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 1006, USI Università della Svizzera italiana.
  • Handle: RePEc:lug:wpaper:1006
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    References listed on IDEAS

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    Cited by:

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    2. Scott, Anthony & Witt, Julia, 2020. "Loss aversion, reference dependence and diminishing sensitivity in choice experiments," Journal of choice modelling, Elsevier, vol. 37(C).
    3. Masiero, Lorenzo & Rose, John M., 2013. "The role of the reference alternative in the specification of asymmetric discrete choice models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 53(C), pages 83-92.
    4. Vogdrup-Schmidt, Mathias & Strange, Niels & Thorsen, Bo Jellesmark, 2019. "Support for Transnational Conservation in a Gain-Loss Context," Ecological Economics, Elsevier, vol. 162(C), pages 49-58.
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    6. Nguyen, Manh-Hung & Nguyen, Thi Lan Anh & Nguyen, Tuan & Reynaud, Arnaud & Simioni, Michel & Hoang, Viet-Ngu, 2021. "Economic analysis of choices among differing measures to manage coastal erosion in Hoi An (a UNESCO World Heritage Site)," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 529-543.
    7. De Salvo, Maria & Scarpa, Riccardo & Capitello, Roberta & Begalli, Diego, 2020. "Multi-country stated preferences choice analysis for fresh tomatoes," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 9(3), December.
    8. Vincenzina Caputo & Jayson L Lusk & Rodolfo M Nayga, 2020. "Am I Getting a Good Deal? Reference‐DependentDecision Making When the Reference Price Is Uncertain," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(1), pages 132-153, January.
    9. Charles Collet & Pascal Gastineau & Benoit Chèze & Pierre-Alexandre Mahieu & Frederic Martinez, 2022. "Combining economics and psychology: Does CO2 framing strengthen pro-environmental behaviors?," Working Papers hal-03321706, HAL.
    10. Fecke, Wilm & Danne, Michael & Mußhoff, Oliver, 2018. "E-commerce in agriculture: The case of crop protection product purchases in a discrete choice experiment," DARE Discussion Papers 1803, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    11. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.
    12. Avineri, Erel & Owen D. Waygood, E., 2013. "Applying valence framing to enhance the effect of information on transport-related carbon dioxide emissions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 48(C), pages 31-38.
    13. Lorenzo Masiero & David Hensher, 2011. "Shift of reference point and implications on behavioral reaction to gains and losses," Transportation, Springer, vol. 38(2), pages 249-271, March.
    14. Avineri, Erel, 2012. "On the use and potential of behavioural economics from the perspective of transport and climate change," Journal of Transport Geography, Elsevier, vol. 24(C), pages 512-521.
    15. Feo-Valero, María & Arencibia, Ana Isabel & Román, Concepción, 2016. "Analyzing discrepancies between willingness to pay and willingness to accept for freight transport attributes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 151-164.
    16. Beck, Matthew J. & Hess, Stephane & Cabral, Manuel Ojeda & Dubernet, Ilka, 2017. "Valuing travel time savings: A case of short-term or long term choices?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 100(C), pages 133-143.
    17. Fecke, Wilm & Danne, Michael & Mußhoff, Oliver, 2018. "Online-Einkauf von Pflanzenschutzmitteln: Ein Discrete Choice Experiment mit landwirtschaftlichen Unternehmern in Deutschland," DARE Discussion Papers 1811, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).

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    More about this item

    Keywords

    choice experiments; willingness to pay space; preference asymmetry;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General

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