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An empirical analysis of taxi, Lyft and Uber rides: Evidence from weather shocks in NYC

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  • Brodeur, Abel
  • Nield, Kerry

Abstract

Using all taxi, Lyft and Uber rides in New York City, we show that the number of Uber and Lyft rides is significantly correlated with whether it rained. The number of Uber (Lyft) rides per hour is about 22 (19)% higher when it is raining, while the number of taxi rides per hour increases by only 5% in rainy hours-suggesting that surge pricing (prime time) encourages an increase in supply. We show that while the number of taxi rides, passengers and fare income all significantly decreased after Uber entered the market in May 2011, taxis do not respond differently to increased demand in rainy hours than non-rainy hours since the entrance of Uber. Last, we test whether Lyft’s entry in the market affected Uber. Our estimates suggest that Uber was still growing after Lyft entered the market, but that Uber rides during rainy hours decreased by about 9%. Our findings suggest that dynamic pricing make Lyft and Uber drivers compete for rides when demand suddenly increases, i.e., during rainy hours.

Suggested Citation

  • Brodeur, Abel & Nield, Kerry, 2018. "An empirical analysis of taxi, Lyft and Uber rides: Evidence from weather shocks in NYC," Journal of Economic Behavior & Organization, Elsevier, vol. 152(C), pages 1-16.
  • Handle: RePEc:eee:jeborg:v:152:y:2018:i:c:p:1-16
    DOI: 10.1016/j.jebo.2018.06.004
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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. Chang, Tom & Gross, Tal, 2014. "How many pears would a pear packer pack if a pear packer could pack pears at quasi-exogenously varying piece rates?," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 1-17.
    3. 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.
    4. 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.
    5. Orley Ashenfelter & Kirk Doran & Bruce Schaller, 2010. "A Shred of Credible Evidence on the Long‐run Elasticity of Labour Supply," Economica, London School of Economics and Political Science, vol. 77(308), pages 637-650, October.
    6. 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.
    7. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    8. Blundell, Richard & Macurdy, Thomas, 1999. "Labor supply: A review of alternative approaches," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 27, pages 1559-1695, Elsevier.
    9. Doran, Kirk, 2014. "Are long-term wage elasticities of labor supply more negative than short-term ones?," Economics Letters, Elsevier, vol. 122(2), pages 208-210.
    10. Marie Connolly, 2008. "Here Comes the Rain Again: Weather and the Intertemporal Substitution of Leisure," Journal of Labor Economics, University of Chicago Press, vol. 26(1), pages 73-100.
    11. Judd Cramer & Alan B. Krueger, 2016. "Disruptive Change in the Taxi Business: The Case of Uber," American Economic Review, American Economic Association, vol. 106(5), pages 177-182, May.
    12. 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.
    13. repec:pri:cepsud:199ashenfelter is not listed on IDEAS
    14. Yuan K. Chou, 2002. "Testing Alternative Models Of Labour Supply: Evidence From Taxi Drivers In Singapore," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 47(01), pages 17-47.
    15. 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..
    16. Ernst Fehr & Lorenz Goette, 2007. "Do Workers Work More if Wages Are High? Evidence from a Randomized Field Experiment," American Economic Review, American Economic Association, vol. 97(1), pages 298-317, March.
    17. Kareem Haggag & Brian McManus & Giovanni Paci, 2017. "Learning by Driving: Productivity Improvements by New York City Taxi Drivers," American Economic Journal: Applied Economics, American Economic Association, vol. 9(1), pages 70-95, January.
    18. 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.
    19. Jonathan V. Hall & Alan B. Krueger, 2015. "An Analysis of the Labor Market for Uber's Driver-Partners in the United States," Working Papers 587, Princeton University, Department of Economics, Industrial Relations Section..
    20. 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.
    21. 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.
    22. Kareem Haggag & Giovanni Paci, 2014. "Default Tips," American Economic Journal: Applied Economics, American Economic Association, vol. 6(3), pages 1-19, July.
    23. Peter Cohen & Robert Hahn & Jonathan Hall & Steven Levitt & Robert Metcalfe, 2016. "Using Big Data to Estimate Consumer Surplus: The Case of Uber," NBER Working Papers 22627, National Bureau of Economic Research, Inc.
    24. 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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    17. Guilherme Mendes Resende & Ricardo Carvalho de Andrade Lima, 2018. "Working Paper No. 001/2018 - Competition Effects of the Sharing Economy in Brazil: Has Uber's entry affected the cab-hailing app market from 2014 to 2016?," Documentos de Trabalho 2018011, Conselho Administrativo de Defesa Econômica (Cade), Departamento de Estudos Econômicos.
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    More about this item

    Keywords

    Rain; Taxi; Uber; Lyft; Dynamic pricing;
    All these keywords.

    JEL classification:

    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply

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