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Taxi Drivers’ Response to Cancellations and No-Shows: New Evidence for Reference-Dependent Preferences

Author

Listed:
  • Hai Long Duong

    (Futureproof Technologies, Hai Phong City, Vietnam, 180000)

  • Junhong Chu

    (NUS Business School, National University of Singapore, Singapore 117592)

  • Dai Yao

    (Faculty of Business, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong)

Abstract

We study how daily labor supply responds to unanticipated earnings shocks among Singapore’s taxi drivers using a novel identification strategy that uses idiosyncratic variation in booking cancellations and passenger no-shows (CNS) that drivers repeatedly receive. Our results provide new and more compelling evidence in support of the income-targeting model of labor supply. Not only are the average responses on the extensive margin consistent with the income-targeting model, but the responses on the intensive margin and the heterogeneous responses at different income levels and across driver characteristics are as well. We find that drivers work longer and earn more per hour following CNS, and the effects are robust after controlling for rich fixed effects, market supply and demand conditions, and drivers’ sunk cost of time. The CNS effects on ending a shift exhibit a U-shaped pattern, are strongest when cumulative income is close to the average shift income, and become insignificant when the income level is too low or too high. The effects are most pronounced in the first hour of CNS and fade away quickly afterward. Drivers achieve higher productivity by reducing break time, taking more jobs, driving faster, driving to places with more earning opportunities, and having more time with passengers on board. Drivers choose the response strategies that are complementary to their abilities and circumstances such as schedule flexibility and potential for productivity improvement: those with flexible working schedules tend to prolong their shifts, whereas those with flexible earnings rates tend to increase their subsequent productivity. Our novel identification strategy strengthens the empirical literature on daily labor supply, and our findings of heterogeneity effects offer new insights on income-targeting behaviors.

Suggested Citation

  • Hai Long Duong & Junhong Chu & Dai Yao, 2023. "Taxi Drivers’ Response to Cancellations and No-Shows: New Evidence for Reference-Dependent Preferences," Management Science, INFORMS, vol. 69(1), pages 179-199, January.
  • Handle: RePEc:inm:ormnsc:v:69:y:2023:i:1:p:179-199
    DOI: 10.1287/mnsc.2022.4349
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    References listed on IDEAS

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    1. M. Keith Chen & Judith A. Chevalier & Peter E. Rossi & Emily Oehlsen, 2019. "The Value of Flexible Work: Evidence from Uber Drivers," Journal of Political Economy, University of Chicago Press, vol. 127(6), pages 2735-2794.
    2. Sun, Li & Rajiv, Surendra & Chu, Junhong, 2016. "Beyond the more the merrier: The variety effect and consumer heterogeneity in system markets," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 261-275.
    3. Junhong Chu & Puneet Manchanda, 2016. "Quantifying Cross and Direct Network Effects in Online Consumer-to-Consumer Platforms," Marketing Science, INFORMS, vol. 35(6), pages 870-893, November.
    4. Colin Camerer & Linda Babcock & George Loewenstein & Richard Thaler, 1997. "Labor Supply of New York City Cabdrivers: One Day at a Time," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 407-441.
    5. Jean‐Charles Rochet & Jean Tirole, 2006. "Two‐sided markets: a progress report," RAND Journal of Economics, RAND Corporation, vol. 37(3), pages 645-667, September.
    6. Gerald S. Oettinger, 1999. "An Empirical Analysis of the Daily Labor Supply of Stadium Vendors," Journal of Political Economy, University of Chicago Press, vol. 107(2), pages 360-392, April.
    7. Xiqian Cai & jie Gong & Yi Lu & Songfa Zhong, 2018. "Recover Overnight? Work Interruption and Worker Productivity," Management Science, INFORMS, vol. 64(8), pages 3489-3500, August.
    8. Henry S. Farber, 2008. "Reference-Dependent Preferences and Labor Supply: The Case of New York City Taxi Drivers," American Economic Review, American Economic Association, vol. 98(3), pages 1069-1082, June.
    9. Marc Rysman, 2009. "The Economics of Two-Sided Markets," Journal of Economic Perspectives, American Economic Association, vol. 23(3), pages 125-143, Summer.
    10. Jean-Charles Rochet & Jean Tirole, 2003. "Platform Competition in Two-Sided Markets," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 990-1029, June.
    11. Stefano DellaVigna & Attila Lindner & Balázs Reizer & Johannes F. Schmieder, 2017. "Reference-Dependent Job Search: Evidence from Hungary," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1969-2018.
    12. Jonah Berger & Devin Pope, 2011. "Can Losing Lead to Winning?," Management Science, INFORMS, vol. 57(5), pages 817-827, May.
    13. Thomas Buser, 2016. "The Impact of Losing in a Competition on the Willingness to Seek Further Challenges," Management Science, INFORMS, vol. 62(12), pages 3439-3449, December.
    14. Jacob Feldman & Nan Liu & Huseyin Topaloglu & Serhan Ziya, 2014. "Appointment Scheduling Under Patient Preference and No-Show Behavior," Operations Research, INFORMS, vol. 62(4), pages 794-811, August.
    15. Junhong Chu & Yige Duan & Xianling Yang & Li Wang, 2021. "The Last Mile Matters: Impact of Dockless Bike Sharing on Subway Housing Price Premium," Management Science, INFORMS, vol. 67(1), pages 297-316, January.
    16. Botond Kőszegi & Matthew Rabin, 2006. "A Model of Reference-Dependent Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1133-1165.
    17. Henry S. Farber, 2005. "Is Tomorrow Another Day? The Labor Supply of New York City Cabdrivers," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 46-82, February.
    18. Vincent P. Crawford & Juanjuan Meng, 2011. "New York City Cab Drivers' Labor Supply Revisited: Reference-Dependent Preferences with Rational-Expectations Targets for Hours and Income," American Economic Review, American Economic Association, vol. 101(5), pages 1912-1932, August.
    19. S. Sriram & Puneet Manchanda & Mercedes Bravo & Junhong Chu & Liye Ma & Minjae Song & Scott Shriver & Upender Subramanian, 2015. "Platforms: a multiplicity of research opportunities," Marketing Letters, Springer, vol. 26(2), pages 141-152, June.
    20. Henry S. Farber, 2015. "Why you Can’t Find a Taxi in the Rain and Other Labor Supply Lessons from Cab Drivers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1975-2026.
    21. Martin, Vincent, 2017. "When to quit: Narrow bracketing and reference dependence in taxi drivers," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 166-187.
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    3. Bajo-Buenestado, Raúl & Borrella-Mas, Miguel Ángel, 2025. "Market competition and the adoption of clean technology: Evidence from the taxi industry," European Economic Review, Elsevier, vol. 174(C).

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