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Linking loss aversion and present bias with overspending behavior of tourists: Insights from a lab-in-the-field experiment

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  • Nguyen, Quang

Abstract

Building upon Prospect Theory and Hyperbolic Time Discounting models, we explore how behavioral factors influence the probability of overspending among outbound leisure travelers. We construct our data in two steps. First, we collect demographics and travel-related variables from a random sample of 314 Singaporean tourists across different age groups and income levels. Second, we conduct a field experiment to measure their risk and time preferences, specifically loss aversion and present bias. We then explore the link between the measured preferences to overspending behavior. The findings reveal an interesting link between loss aversion, present bias and traveling expenditure patterns: outbound tourists with high loss aversion and high present bias are more likely to overspend. Finally, our study also highlights the role of group identity in de-biasing. Specifically, individuals are more likely to behave according to standard economic models when making decisions in groups.

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  • Nguyen, Quang, 2016. "Linking loss aversion and present bias with overspending behavior of tourists: Insights from a lab-in-the-field experiment," Tourism Management, Elsevier, vol. 54(C), pages 152-159.
  • Handle: RePEc:eee:touman:v:54:y:2016:i:c:p:152-159
    DOI: 10.1016/j.tourman.2015.09.019
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    Cited by:

    1. Alicia Fourie & Chris van Heerden & Engelina du Plessis, 2022. "Improving destination competitiveness in South Africa: A DEA approach," Tourism Economics, , vol. 28(4), pages 1080-1100, June.
    2. Viglia, Giampaolo & Dolnicar, Sara, 2020. "A review of experiments in tourism and hospitality," Annals of Tourism Research, Elsevier, vol. 80(C).
    3. Kovács, Kármen, 2020. "A jelen felé torzított preferenciák. A türelmetlenségből eredő fogyasztási döntések okai, megnyilvánulásai és következményei [The causes, manifestations and consequences of consumption decisions re," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 31-53.
    4. Hongjuan Song & Yushi Jiang, 2019. "Dynamic pricing decisions by potential tourists under uncertainty: The effects of tourism advertising," Tourism Economics, , vol. 25(2), pages 213-234, March.
    5. Jian-Wu Bi & Tian-Yu Han & Yanbo Yao & Hui Li, 2022. "Ranking hotels through multi-dimensional hotel information: a method considering travelers’ preferences and expectations," Information Technology & Tourism, Springer, vol. 24(1), pages 127-155, March.

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