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Expectation-based consumer purchase decisions: behavioral modeling and observations

Author

Listed:
  • Justin Jia

    (University of Tennessee)

  • Jia Li

    (Wake Forest University)

  • Weixin Liu

    (Tsinghua University)

Abstract

Expectations play important roles in consumers’ purchase decisions. Among many types of expectations, consumers often form expectations on future market conditions when purchasing goods or services. This study develops a multiple-selves intertemporal choice model for such expectation-based purchase decisions, incorporating behavioral factors such as present-biased preferences into the model. An analysis based on the model shows that consumers adopt a threshold perception-perfect strategy when making purchase decisions and the threshold depends on values of model parameters that capture expectations on key market conditions. Different consumers often have different parameter values, leading to heterogeneous behavior. The study further applies the model to explain observations from medical service consumption data during the COVID-19 pandemic, and shows that the expectation-based purchase model provides a sound explanation for the observed heterogeneous purchase decisions across individuals with different incomes and health insurance status.

Suggested Citation

  • Justin Jia & Jia Li & Weixin Liu, 2023. "Expectation-based consumer purchase decisions: behavioral modeling and observations," Marketing Letters, Springer, vol. 34(3), pages 397-413, September.
  • Handle: RePEc:kap:mktlet:v:34:y:2023:i:3:d:10.1007_s11002-022-09650-7
    DOI: 10.1007/s11002-022-09650-7
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    1. Matthew Rabin & Ted O'Donoghue, 1999. "Doing It Now or Later," American Economic Review, American Economic Association, vol. 89(1), pages 103-124, March.
    2. R. H. Strotz, 1955. "Myopia and Inconsistency in Dynamic Utility Maximization," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 23(3), pages 165-180.
    3. Oliver, Richard L. & Winer, Russell S., 1987. "A framework for the formation and structure of consumer expectations: Review and propositions," Journal of Economic Psychology, Elsevier, vol. 8(4), pages 469-499, December.
    4. Burks, Stephen & Carpenter, Jeffrey & Götte, Lorenz & Rustichini, Aldo, 2012. "Which measures of time preference best predict outcomes: Evidence from a large-scale field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 308-320.
    5. Lehmann, Donald R., 2020. "The evolving world of research in marketing and the blending of theory and data," International Journal of Research in Marketing, Elsevier, vol. 37(1), pages 27-42.
    6. Katharina Dowling & Daniel Guhl & Daniel Klapper & Martin Spann & Lucas Stich & Narine Yegoryan, 2020. "Behavioral biases in marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 449-477, May.
    7. David Laibson & Andrea Repetto & Jeremy Tobacman, 2005. "Estimating Discount Functions with Consumption Choices over the Lifecycle," Levine's Bibliography 784828000000000643, UCLA Department of Economics.
    8. Shane Frederick & George Loewenstein & Ted O'Donoghue, 2002. "Time Discounting and Time Preference: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 351-401, June.
    9. Xuanming Su, 2007. "Intertemporal Pricing with Strategic Customer Behavior," Management Science, INFORMS, vol. 53(5), pages 726-741, May.
    10. Jamison, Julian & Wegener, Jon, 2010. "Multiple selves in intertemporal choice," Journal of Economic Psychology, Elsevier, vol. 31(5), pages 832-839, October.
    11. Thaler, Richard, 1981. "Some empirical evidence on dynamic inconsistency," Economics Letters, Elsevier, vol. 8(3), pages 201-207.
    12. Michelle Baddeley, 2020. "Hoarding in the age of COVID-19," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 4(S), pages 69-75, June.
    13. Harikesh Nair, 2007. "Intertemporal price discrimination with forward-looking consumers: Application to the US market for console video-games," Quantitative Marketing and Economics (QME), Springer, vol. 5(3), pages 239-292, September.
    14. Jean-Pierre Dubé & Günter Hitsch & Pranav Jindal, 2014. "The Joint identification of utility and discount functions from stated choice data: An application to durable goods adoption," Quantitative Marketing and Economics (QME), Springer, vol. 12(4), pages 331-377, December.
    15. Dhami, Sanjit, 2016. "The Foundations of Behavioral Economic Analysis," OUP Catalogue, Oxford University Press, number 9780198715535, Decembrie.
    16. Lucas, Robert E, Jr, 1975. "An Equilibrium Model of the Business Cycle," Journal of Political Economy, University of Chicago Press, vol. 83(6), pages 1113-1144, December.
    17. David Laibson, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 443-478.
    18. E. S. Phelps & R. A. Pollak, 1968. "On Second-Best National Saving and Game-Equilibrium Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 35(2), pages 185-199.
    19. Sargent, Thomas J & Wallace, Neil, 1975. ""Rational" Expectations, the Optimal Monetary Instrument, and the Optimal Money Supply Rule," Journal of Political Economy, University of Chicago Press, vol. 83(2), pages 241-254, April.
    20. Inseong Song & Pradeep Chintagunta, 2003. "A Micromodel of New Product Adoption with Heterogeneous and Forward-Looking Consumers: Application to the Digital Camera Category," Quantitative Marketing and Economics (QME), Springer, vol. 1(4), pages 371-407, December.
    21. Russell S. Winer, 1985. "Technical Note—A Price Vector Model of Demand for Consumer Durables: Preliminary Developments," Marketing Science, INFORMS, vol. 4(1), pages 74-90.
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