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Know Thyself: Capturing zero-price effects in stated choice surveys: implications for willingness-to-pay and welfare

Author

Listed:
  • Jeff Tjiong
  • Thijs Dekker

    (University of Leeds, Institute for Transport Studies)

  • Stephane Hess

    (University of Leeds, Institute for Transport Studies)

  • Marek Giergiczny

    (University of Warsaw, Faculty of Economic Sciences)

  • Manuel Ojeda-Cabral

    (University of Leeds, Institute for Transport Studies)

  • Mikołaj Czajkowski

    (University of Warsaw, Faculty of Economic Sciences)

Abstract

Stated choice surveys commonly used in public policy appraisal – such as in transport or environmental economics – often contrast a ‘free’ status quo alternative against a range of (policy) interventions which can be implemented at a cost. Limited attention has, however, been paid to the fact that the ‘free’ nature of the status quo (SQ) alternative may make the SQ alternative overly attractive due to the zero-price (ZP) effect. The ZP effect is a well-established notion in behavioural economics explaining the phenomenon that individuals tend to over-react to free alternatives. We present an experimental design setup allowing the separation of the ZP effect from the SQ effect together with the identification of non-linear sensitivities to costs. Choices made by students between different mobile broadband packages are used for illustrational purposes. Our analysis shows that the ZP effect is significant and the observed preference to remain in the SQ is largely due to the ZP effect. In practice, this may lead to biased welfare estimates for public policy packages if the ZP effect is not explicitly accounted for. Moreover, we also show that misspecification of the functional form for cost can lead to significant bias in WTP estimates and the ZP and SQ effects.

Suggested Citation

  • Jeff Tjiong & Thijs Dekker & Stephane Hess & Marek Giergiczny & Manuel Ojeda-Cabral & Mikołaj Czajkowski, 2026. "Know Thyself: Capturing zero-price effects in stated choice surveys: implications for willingness-to-pay and welfare," Working Papers 2026-15, Faculty of Economic Sciences, University of Warsaw.
  • Handle: RePEc:war:wpaper:2026-15
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    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications

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