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Personalized Total Cost Of Ownership And Rational Car Choice: Evidence From Online Field Experiment

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  • Ergo Themas
  • Maryna Tverdostup

Abstract

Purchasing a car is one of the decisions that may have a sizeable negative impact on an individual or family budget if all costs associated with owning a car are not properly considered. With car leasing being easily accessible, car buyers may underestimate all the costs beyond the leasing payments when choosing a car and select a vehicle above their own budget. This paper conducts an online field experiment in a specially designed bot in the Facebook Messenger application in Estonia, to investigate whether disclosing the complete personalized total cost of ownership (TCO) leads to a better calibrated choice of cars for a test drive. The study documents that introducing better information into real-life car choices does not have a positive effect on the correspondence between cost of car and individual budget. Quite the opposite, subjects deviate from their budget even more when a personalized TCO (for one month or five years) is disclosed, and in particular, subjects generally tend to choose cars above their budget. While previous studies on car buyer behaviour with different cost information have been carried out as lab experiments with hypothetical car buyers, our study contributes to the literature by conducting a field experiment with real car buyers, finding a substantial gap with the results obtained in the lab setting.

Suggested Citation

  • Ergo Themas & Maryna Tverdostup, 2021. "Personalized Total Cost Of Ownership And Rational Car Choice: Evidence From Online Field Experiment," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 132, Faculty of Economics and Business Administration, University of Tartu (Estonia).
  • Handle: RePEc:mtk:febawb:132
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    References listed on IDEAS

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    1. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    2. Hossain Tanjim & Morgan John, 2006. "...Plus Shipping and Handling: Revenue (Non) Equivalence in Field Experiments on eBay," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 6(2), pages 1-30, January.
    3. Danielis, Romeo & Giansoldati, Marco & Scorrano, Mariangela, 2019. "Consumer- and society-oriented cost of ownership of electric and conventional cars in Italy," Working Papers 19_3, SIET Società Italiana di Economia dei Trasporti e della Logistica.
    4. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    5. Kim, Jae-Cheol, 1985. "The Market for "Lemons" Reconsidered: A Model of the Used Car Market with Asymmetric Information," American Economic Review, American Economic Association, vol. 75(4), pages 836-843, September.
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    More about this item

    Keywords

    Consumer behaviour; Online field experiment; Rational decision-making; Total cost of ownership;
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