IDEAS home Printed from https://ideas.repec.org/p/mtk/febawb/132.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.mtk.ut.ee/sites/default/files/mtk/RePEc/mtk/febpdf/febawb132.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 5(2), pages 1-30, January.
    3. 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..
    4. 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.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stefano DellaVigna, 2009. "Psychology and Economics: Evidence from the Field," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 315-372, June.
    2. van den Bergh, J.C.J.M. & Botzen, W.J.W., 2015. "Monetary valuation of the social cost of CO2 emissions: A critical survey," Ecological Economics, Elsevier, vol. 114(C), pages 33-46.
    3. Shoji, Isao & Kanehiro, Sumei, 2016. "Disposition effect as a behavioral trading activity elicited by investors' different risk preferences," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 104-112.
    4. Jonathan Meng & Feng Fu, 2020. "Understanding Gambling Behavior and Risk Attitudes Using Cryptocurrency-based Casino Blockchain Data," Papers 2008.05653, arXiv.org, revised Aug 2020.
    5. Daniel Fonseca Costa & Francisval Carvalho & Bruno César Moreira & José Willer Prado, 2017. "Bibliometric analysis on the association between behavioral finance and decision making with cognitive biases such as overconfidence, anchoring effect and confirmation bias," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1775-1799, June.
    6. Boone, Jan & Sadrieh, Abdolkarim & van Ours, Jan C., 2009. "Experiments on unemployment benefit sanctions and job search behavior," European Economic Review, Elsevier, vol. 53(8), pages 937-951, November.
    7. Castro, Luciano de & Galvao, Antonio F. & Kim, Jeong Yeol & Montes-Rojas, Gabriel & Olmo, Jose, 2022. "Experiments on portfolio selection: A comparison between quantile preferences and expected utility decision models," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 97(C).
    8. Jos'e Cl'audio do Nascimento, 2019. "Behavioral Biases and Nonadditive Dynamics in Risk Taking: An Experimental Investigation," Papers 1908.01709, arXiv.org, revised Apr 2023.
    9. Francesco GUALA, 2017. "Preferences: Neither Behavioural nor Mental," Departmental Working Papers 2017-05, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    10. Todd D. Gerarden & Richard G. Newell & Robert N. Stavins, 2017. "Assessing the Energy-Efficiency Gap," Journal of Economic Literature, American Economic Association, vol. 55(4), pages 1486-1525, December.
    11. Bin Zou, 2017. "Optimal Investment In Hedge Funds Under Loss Aversion," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(03), pages 1-32, May.
    12. Itzhak Gilboa & Andrew Postlewaite & Larry Samuelson & David Schmeidler, 2019. "What are axiomatizations good for?," Theory and Decision, Springer, vol. 86(3), pages 339-359, May.
    13. Wiafe, Osei K. & Basu, Anup K. & Chen, En Te, 2020. "Portfolio choice after retirement: Should self-annuitisation strategies hold more equities?," Economic Analysis and Policy, Elsevier, vol. 65(C), pages 241-255.
    14. Nicholas Barberis, 2012. "A Model of Casino Gambling," Management Science, INFORMS, vol. 58(1), pages 35-51, January.
    15. Lovric, M. & Kaymak, U. & Spronk, J., 2008. "A Conceptual Model of Investor Behavior," ERIM Report Series Research in Management ERS-2008-030-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    16. Goytom Abraha Kahsay & Daniel Osberghaus, 2018. "Storm Damage and Risk Preferences: Panel Evidence from Germany," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(1), pages 301-318, September.
    17. Carolin Bock & Maximilian Schmidt, 2015. "Should I stay, or should I go? – How fund dynamics influence venture capital exit decisions," Review of Financial Economics, John Wiley & Sons, vol. 27(1), pages 68-82, November.
    18. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2013. "Risk-averse and Risk-seeking Investor Preferences for Oil Spot and Futures," Documentos de Trabajo del ICAE 2013-31, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Aug 2013.
    19. Paredes-Frigolett, Harold, 2016. "Modeling the effect of responsible research and innovation in quadruple helix innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 126-133.
    20. Justin S. Skillman & Michael J. Vernarelli, 2016. "Framing effects on bidding behavior in experimental first-price sealed-bid money auctions," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 11(4), pages 391-400, July.

    More about this item

    Keywords

    Consumer behaviour; Online field experiment; Rational decision-making; Total cost of ownership;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mtk:febawb:132. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anne Reino (email available below). General contact details of provider: https://edirc.repec.org/data/febutee.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.