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An Analysis of the Labor Market for Uber's Driver-Partners in the United States

Author

Listed:
  • Jonathan V. Hall

    (Uber Technologies)

  • Alan B. Krueger

    (Princeton University)

Abstract

This paper provides the first comprehensive analysis of Uber's driver-partners, based on both survey data and anonymized, aggregated administrative data. Uber has grown at an exponential rate over the last few years, and drivers who partner with Uber appear to be attracted to the platform in large part because of the flexibility it offers, the level of compensation, and the fact that earnings per hour do not vary much with hours worked, which facilitates part-time and variable hours. Uber's driver-partners are more similar in terms of their age and education to the general workforce than to taxi drivers and chauffeurs. Uber may serve as a bridge for many seeking other employment opportunities, and it may attract well-qualified individuals because, with Uber's star rating system, driver-partners' reputations are explicitly shared with potential customers. Most of Uber's driver-partners had full- or part-time employment prior to joining Uber, and many continued in those positions after starting to drive with the Uber platform, which makes the flexibility to set their own hours all the more valuable. Uber's driver-partners also often cited the desire to smooth fluctuations in their income as a reason for partnering with Uber.

Suggested Citation

  • 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..
  • Handle: RePEc:pri:indrel:587
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    References listed on IDEAS

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    1. 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, Oxford University Press, vol. 112(2), pages 407-441.
    2. 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.
    3. Henry S. Farber, 2014. "Why You Can't Find a Taxi in the Rain and Other Labor Supply Lessons from Cab Drivers," Working Papers 583a, Princeton University, Department of Economics, Industrial Relations Section..
    4. Henry S. Farber, 2014. "Why You Can't Find a Taxi in the Rain and Other Labor Supply Lessons from Cab Drivers," NBER Working Papers 20604, National Bureau of Economic Research, Inc.
    5. Chang-Tai Hsieh & Enrico Moretti, 2003. "Can Free Entry Be Inefficient? Fixed Commissions and Social Waste in the Real Estate Industry," Journal of Political Economy, University of Chicago Press, vol. 111(5), pages 1076-1122, October.
    6. Chou, Y.K., 2000. "Testing Alternative Models of Labor Supply. Evidence from Taxi-Drivers in Singapore," Department of Economics - Working Papers Series 768, The University of Melbourne.
    7. 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.
    8. Henry S. Farber, 2014. "Why You Can't Find a Taxi in the Rain and Other Labor Supply Lessons from Cab Drivers," Working Papers 583, Princeton University, Department of Economics, Industrial Relations Section..
    9. Lawrence F. Katz & Alan B. Krueger, 2016. "The Rise and Nature of Alternative Work Arrangements in the United States, 1995-2015," Working Papers 603, Princeton University, Department of Economics, Industrial Relations Section..
    10. Bernhardt, Annette, 2014. "Labor Standards and the Reorganization of Work: Gaps in Data and Research," Institute for Research on Labor and Employment, Working Paper Series qt3hc6t3d5, Institute of Industrial Relations, UC Berkeley.
    11. 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.
    12. Farber, Henry S, 2014. "Why You Can't Find a Taxi in the Rain and Other Labor Supply Lessons from Cab Drivers," IZA Discussion Papers 8562, Institute of Labor Economics (IZA).
    13. 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.
    14. Luís Cabral & Ali Hortaçsu, 2010. "The Dynamics Of Seller Reputation: Evidence From Ebay," Journal of Industrial Economics, Wiley Blackwell, vol. 58(1), pages 54-78, March.
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    More about this item

    Keywords

    Uber;

    JEL classification:

    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment

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