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Price complexity and buyer confusion in markets

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  • Kalaycı, Kenan

Abstract

This paper reports a duopoly market experiment that examines the effects of price complexity on market prices. In my experimental posted-offer markets, each seller offers an identical good to buyers with homogeneous preferences. First, sellers simultaneously decide on the price and the tariff structure of their good, then buyers make their choices. Each seller can choose to have a one-, two- or three-part tariff. The tariff structure affects neither the value nor the price of the good but influences buyers’ ability to calculate the good's price. The main results show that high-price sellers choose high complexity more often than low-price sellers if buyers are simulated in accordance with the bounded rationality model of Carlin (2009). However, the evidence for this effect is weaker if the buyers are human subjects. Importantly, prices are higher when the sellers can confuse buyers using price complexity than when sellers interact with perfectly rational robot buyers.

Suggested Citation

  • Kalaycı, Kenan, 2015. "Price complexity and buyer confusion in markets," Journal of Economic Behavior & Organization, Elsevier, vol. 111(C), pages 154-168.
  • Handle: RePEc:eee:jeborg:v:111:y:2015:i:c:p:154-168
    DOI: 10.1016/j.jebo.2015.01.001
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    Cited by:

    1. Ioana Chioveanu & Jidong Zhou, 2013. "Price Competition with Consumer Confusion," Management Science, INFORMS, vol. 59(11), pages 2450-2469, November.
    2. Chioveanu, Ioana, 2020. "A more general model of price complexity," International Journal of Industrial Organization, Elsevier, vol. 69(C).
    3. Yiquan Gu & Tobias Wenzel, 2017. "Consumer confusion, obfuscation and price regulation," Scottish Journal of Political Economy, Scottish Economic Society, vol. 64(2), pages 169-190, May.
    4. Chioveanu, Ioana, 2019. "Prominence, complexity, and pricing," International Journal of Industrial Organization, Elsevier, vol. 63(C), pages 551-582.
    5. Kenan Kalaycı & Marta Serra-Garcia, 2016. "Complexity and biases," Experimental Economics, Springer;Economic Science Association, vol. 19(1), pages 31-50, March.
    6. Wenner, Lukas M., 2018. "Do sellers exploit biased beliefs of buyers? An experiment," Games and Economic Behavior, Elsevier, vol. 110(C), pages 194-215.
    7. Hegarty, Tadgh & Whelan, Karl, 2023. "Do Gamblers Understand Complex Bets? Evidence From Asian Handicap Betting on Soccer," MPRA Paper 117244, University Library of Munich, Germany.
    8. Ernst Fehr & Keyu Wu, 2021. "Obfuscation in competitive markets," ECON - Working Papers 391, Department of Economics - University of Zurich, revised Feb 2023.
    9. Hans‐Theo Normann & Tobias Wenzel, 2019. "Shrouding Add‐On Information: An Experimental Study," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(4), pages 1705-1727, October.
    10. Gu, Yiquan & Wenzel, Tobias, 2015. "Putting on a tight leash and levelling playing field: An experiment in strategic obfuscation and consumer protection," International Journal of Industrial Organization, Elsevier, vol. 42(C), pages 120-128.
    11. Rasch, Alexander & Thöne, Miriam & Wenzel, Tobias, 2020. "Drip pricing and its regulation: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 353-370.
    12. Paolo Crosetto & Alexia Gaudeul, 2017. "Choosing not to compete: Can firms maintain high prices by confusing consumers?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 26(4), pages 897-922, December.
    13. Christoph March, 2019. "The Behavioral Economics of Artificial Intelligence: Lessons from Experiments with Computer Players," CESifo Working Paper Series 7926, CESifo.
    14. Kai Duttle & Keigo Inukai, 2015. "Complexity Aversion: Influences of Cognitive Abilities, Culture and System of Thought," Economics Bulletin, AccessEcon, vol. 35(2), pages 846-855.
    15. Thorp, S. & Bateman, H. & Dobrescu, L.I. & Newell, B.R. & Ortmann, A., 2020. "Flicking the switch: Simplifying disclosure to improve retirement plan choices," Journal of Banking & Finance, Elsevier, vol. 121(C).
    16. Justus Haucap & Christina Heldman & Holger A. Rau, 2022. "Gender and Cooperation in the Presence of Negative Externalities," CESifo Working Paper Series 9614, CESifo.
    17. March, Christoph, 2021. "Strategic interactions between humans and artificial intelligence: Lessons from experiments with computer players," Journal of Economic Psychology, Elsevier, vol. 87(C).
    18. Chen, Yi-Ting & Sun, Edward W. & Lin, Yi-Bing, 2020. "Merging anomalous data usage in wireless mobile telecommunications: Business analytics with a strategy-focused data-driven approach for sustainability," European Journal of Operational Research, Elsevier, vol. 281(3), pages 687-705.
    19. Martins, Lurdes & Szrek, Helena, 2019. "The impact of the decision environment on consumer choice of mobile service plans: An experimental examination," Utilities Policy, Elsevier, vol. 56(C), pages 20-32.
    20. Kenan Kalaycı, 2016. "Confusopoly: competition and obfuscation in markets," Experimental Economics, Springer;Economic Science Association, vol. 19(2), pages 299-316, June.
    21. Haucap, Justus & Heldman, Christina & Rau, Holger A., 2022. "Gender and collusion," DICE Discussion Papers 380, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).

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    More about this item

    Keywords

    Experiment; Bounded rationality; Buyer confusion; Price complexity; Market power; Duopoly;
    All these keywords.

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets

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