Good days, bad days: Stock market fluctuation and taxi tipping decisions

Weiqiang TAN, Jian ZHANG

Research output: Contribution to journalArticlespeer-review

4 Citations (Scopus)


Using taxicab tipping records in New York City (NYC), we develop a novel measure of real-time utility and quantitatively assess the impact of wealth change on the well-being of individuals based on the core tenet of prospect theory. The baseline estimate suggests that a one-standard-deviation increase in the stock market index is associated with a 0.3% increase in the daily average tipping ratio, which translates to an elasticity estimate of 0.3. The impact is short-lived and in line with the wealth effect interpretation. Consistent with loss aversion, we find that the impact is primarily driven by wealth loss rather than gain. We exploit Global Positioning System and timestamp information and design two difference-in-differences tests to establish causal inference. Exploitation of the characteristics of individual stocks suggests that the effect of wealth change on real-time utility is more pronounced in the stocks of firms with large market capitalization. Finally, our aggregate estimate suggests that annual tip revenue in the NYC taxi industry is associated with stock market fluctuations, ranging from −$17.5 million to $12.9 million. Copyright © 2020 INFORMS.
Original languageEnglish
Pages (from-to)3965-3984
JournalManagement Science
Issue number6
Early online date12 Oct 2020
Publication statusPublished - Jun 2021


Tan, W., & Zhang, J. (2021). Good days, bad days: Stock market fluctuation and taxi tipping decisions. Management Science, 67(6), 3965-3984. doi: 10.1287/mnsc.2019.3557


  • Consumption
  • Stock market
  • Loss aversion
  • Investor mood
  • Taxi tipping


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