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Examining price variation sensitivity with surveys and the relevance of Weber’s law

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  • Ronald B. Larson

    (Luther College)

  • Anna Tauscher

    (Luther College)

Abstract

Psychologists have tested the concept of just-noticeable-differences (Weber’s Law) and found it to be valid for many sensory phenomena. Marketers have applied this idea to pricing, suggesting that relatively small price changes should not be noticed and the response to changes should be related to the magnitude of the base prices. This study uses two surveys of US adults to test this principle for furniture purchases and develops profiles of the individuals who respond in ways consistent with it. Because more than 45 percent of subjects said they would respond to small percentage changes in price, the analysis provides limited support for the concept of just-noticeable-differences. The analyses of the profiles for the price change responses concludes that three measures are important: time preferences, risk preferences, and social desirability bias (SDB). Researchers should incorporate these measures into their models to improve price sensitivity estimates.

Suggested Citation

  • Ronald B. Larson & Anna Tauscher, 2025. "Examining price variation sensitivity with surveys and the relevance of Weber’s law," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(3), pages 254-265, June.
  • Handle: RePEc:pal:jorapm:v:24:y:2025:i:3:d:10.1057_s41272-024-00514-5
    DOI: 10.1057/s41272-024-00514-5
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    References listed on IDEAS

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    1. Chien-Huang Lin & Jyh-Wen Wang, 2017. "Erratum to: Distortion of price discount perceptions through the left-digit effect," Marketing Letters, Springer, vol. 28(1), pages 169-169, March.
    2. Lisa Anderson & Jennifer Mellor, 2009. "Are risk preferences stable? Comparing an experimental measure with a validated survey-based measure," Journal of Risk and Uncertainty, Springer, vol. 39(2), pages 137-160, October.
    3. Casado, Esteban & Ferrer, Juan-Carlos, 2013. "Consumer price sensitivity in the retail industry: Latitude of acceptance with heterogeneous demand," European Journal of Operational Research, Elsevier, vol. 228(2), pages 418-426.
    4. Grewal, Dhruv & Marmorstein, Howard, 1994. "Market Price Variation, Perceived Price Variation, and Consumers' Price Search Decisions for Durable Goods," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(3), pages 453-460, December.
    5. Beyza Gültekin, 2012. "The Influence of Hedonic Motives and Browsing On Impulse Buying," Journal of Economics and Behavioral Studies, AMH International, vol. 4(3), pages 180-189.
    6. Chien-Huang Lin & Jyh-Wen Wang, 2017. "Distortion of price discount perceptions through the left-digit effect," Marketing Letters, Springer, vol. 28(1), pages 99-112, March.
    7. Felix Holzmeister & Matthias Stefan, 2021. "The risk elicitation puzzle revisited: Across-methods (in)consistency?," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 593-616, June.
    8. Maurice Doyon & Stéphane Bergeron, 2016. "Understanding Strategic Behavior and Its Contribution to Hypothetical Bias When Eliciting Values for a Private Good," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(4), pages 653-666, December.
    9. Beatrice Scheubel & Daniel Schunk & Joachim Winter, 2013. "Strategic Responses: A Survey Experiment on Opposition to Pension Reforms," Scandinavian Journal of Economics, Wiley Blackwell, vol. 115(2), pages 549-574, April.
    10. David Bradford & Charles Courtemanche & Garth Heutel & Patrick McAlvanah & Christopher Ruhm, 2017. "Time preferences and consumer behavior," Journal of Risk and Uncertainty, Springer, vol. 55(2), pages 119-145, December.
    11. Baoubadi Atozou & Stéphane Bergeron & Maurice Doyon & Lota D. Tamini, 2022. "Improving meta-analyses on hypothetical bias by using separate models for private and public goods," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 11(3), pages 260-271, July.
    12. Weijters, Bert & Geuens, Maggie & Schillewaert, Niels, 2009. "The proximity effect: The role of inter-item distance on reverse-item bias," International Journal of Research in Marketing, Elsevier, vol. 26(1), pages 2-12.
    13. Batchelor, R. A., 1986. "The psychophysics of inflation," Journal of Economic Psychology, Elsevier, vol. 7(3), pages 269-290, September.
    14. Parsad, Chandan & Prashar, Sanjeev & Vijay, T. Sai & Kumar, Mukesh, 2021. "Do promotion and prevention focus influence impulse buying: The role of mood regulation, shopping values, and impulse buying tendency," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    15. Kohli, Chiranjeev & Suri, Rajneesh, 2011. "The price is right? Guidelines for pricing to enhance profitability," Business Horizons, Elsevier, vol. 54(6), pages 563-573.
    16. Henderson Britt, Steuart, 1975. "How Weber's law can be applied to marketing," Business Horizons, Elsevier, vol. 18(1), pages 21-29, February.
    17. Kalyanaram, Gurumurthy & Winer, Russell S., 2022. "Behavioral response to price: Data-based insights and future research for retailing," Journal of Retailing, Elsevier, vol. 98(1), pages 46-70.
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    Cited by:

    1. Ian Yeoman, 2025. "The evolution of pricing," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(3), pages 201-203, June.

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