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Do Digital Platforms Reduce Moral Hazard? The Case of Uber and Taxis

Author

Listed:
  • Meng Liu

    (Washington University in St. Louis, St. Louis, Missouri 63130)

  • Erik Brynjolfsson

    (Stanford University, Stanford, California 94305)

  • Jason Dowlatabadi

    (National Bureau of Economic Research, Cambridge, Massachusetts 02138; Uber Technologies, San Francisco, California 94103)

Abstract

Digital platforms provide a variety of technology-enabled tools that enhance market transparency, such as real-time monitoring, ratings of buyers and sellers, and low-cost complaint channels. How do these innovations affect moral hazard and service quality? We investigate this problem by comparing driver routing choices and efficiency on a large digital platform, Uber, with traditional taxis. The identification is enabled by matching taxi and Uber trips at the origin-destination-time level so they are subject to the same underlying optimal route, by exploiting characteristics of the pricing schemes that differentially affect the incentives of taxi and Uber drivers in various circumstances, and by examining changes in behavior when drivers switch from taxis to Uber. We find that (1) taxi drivers route longer in distance than matched Uber drivers on metered airport routes by an average of 8%, with nonlocal passengers on airport routes experiencing even longer routing; (2) no such long routing is found for short trips in dense markets (e.g., within-Manhattan trips) or airport trips with a flat fare; and (3) long routing in general leads to longer travel time, instead of saving passengers time. These findings are consistent with digital platform designs reducing driver moral hazard, but not with competing explanations such as driver selection or differences in driver navigation technologies. We also find evidence of Uber drivers’ long routing on airport trips in times of surge pricing, suggesting that the tech-enabled market designs may not be binding in our setting.

Suggested Citation

  • Meng Liu & Erik Brynjolfsson & Jason Dowlatabadi, 2021. "Do Digital Platforms Reduce Moral Hazard? The Case of Uber and Taxis," Management Science, INFORMS, vol. 67(8), pages 4665-4685, August.
    • Handle: RePEc:inm:ormnsc:v:67:y:2021:i:8:p:4665-4685
    DOI: 10.1287/mnsc.2020.3721
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    References listed on IDEAS

    as
    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. Chen Liang & Yili Hong & Bin Gu, 2016. "Effects of IT-enabled Monitoring on Labor Contracting in Online Platforms: Evidence from a Natural Experiment," Working Papers 16-01, NET Institute.
    3. Esther Duflo & Rema Hanna & Stephen P. Ryan, 2012. "Incentives Work: Getting Teachers to Come to School," American Economic Review, American Economic Association, vol. 102(4), pages 1241-1278, June.
    4. Loukas Balafoutas & Adrian Beck & Rudolf Kerschbamer & Matthias Sutter, 2013. "What Drives Taxi Drivers? A Field Experiment on Fraud in a Market for Credence Goods," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(3), pages 876-891.
    5. K. Sudhir & Debabrata Talukdar, 2015. "The “Peter Pan Syndrome” in Emerging Markets: The Productivity-Transparency Trade-off in IT Adoption," Marketing Science, INFORMS, vol. 34(4), pages 500-521, July.
    6. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    7. Sinan Aral & Erik Brynjolfsson & Lynn Wu, 2012. "Three-Way Complementarities: Performance Pay, Human Resource Analytics, and Information Technology," Management Science, INFORMS, vol. 58(5), pages 913-931, May.
    8. Klein, Tobias & Lambertz, C. & Stahl, K.O., 2016. "Market transparency, adverse selection, and moral hazard," Other publications TiSEM e1b72b65-7277-4991-8880-4, Tilburg University, School of Economics and Management.
    9. Tobias J. Klein & Christian Lambertz & Konrad O. Stahl, 2016. "Market Transparency, Adverse Selection, and Moral Hazard," Journal of Political Economy, University of Chicago Press, vol. 124(6), pages 1677-1713.
    10. Xiang Hui & Maryam Saeedi & Zeqian Shen & Neel Sundaresan, 2016. "Reputation and Regulations: Evidence from eBay," Management Science, INFORMS, vol. 62(12), pages 3604-3616, December.
    11. Erik Brynjolfsson & Michael D. Smith, 2000. "Frictionless Commerce? A Comparison of Internet and Conventional Retailers," Management Science, INFORMS, vol. 46(4), pages 563-585, April.
    12. Jeffrey R. Brown & Austan Goolsbee, 2002. "Does the Internet Make Markets More Competitive? Evidence from the Life Insurance Industry," Journal of Political Economy, University of Chicago Press, vol. 110(3), pages 481-507, June.
    13. 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.
    14. Thomas N. Hubbard, 2000. "The Demand for Monitoring Technologies: The Case of Trucking," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(2), pages 533-560.
    15. Erik Brynjolfsson & Yu (Jeffrey) Hu & Michael D. Smith, 2003. "Consumer Surplus in the Digital Economy: Estimating the Value of Increased Product Variety at Online Booksellers," Management Science, INFORMS, vol. 49(11), pages 1580-1596, November.
    16. Loukas Balafoutas & Rudolf Kerschbamer & Matthias Sutter, 2017. "Second‐Degree Moral Hazard In A Real‐World Credence Goods Market," Economic Journal, Royal Economic Society, vol. 127(599), pages 1-18, February.
    17. Daniel S. Nagin & James B. Rebitzer & Seth Sanders & Lowell J. Taylor, 2002. "Monitoring, Motivation, and Management: The Determinants of Opportunistic Behavior in a Field Experiment," American Economic Review, American Economic Association, vol. 92(4), pages 850-873, September.
    18. Cody Cook & Rebecca Diamond & Jonathan V Hall & John A List & Paul Oyer, 2021. "The Gender Earnings Gap in the Gig Economy: Evidence from over a Million Rideshare Drivers [Measuring the Gig Economy: Current Knowledge and Open Issues]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(5), pages 2210-2238.
    19. J. Yannis Bakos, 1997. "Reducing Buyer Search Costs: Implications for Electronic Marketplaces," Management Science, INFORMS, vol. 43(12), pages 1676-1692, December.
    20. 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.
    21. Imke Reimers & Benjamin R. Shiller, 2019. "The Impacts of Telematics on Competition and Consumer Behavior in Insurance," Journal of Law and Economics, University of Chicago Press, vol. 62(4), pages 613-632.
    22. Paul Oyer, 2020. "The gig economy," IZA World of Labor, Institute of Labor Economics (IZA), pages 471-471, January.
    23. Ting Liu & Estefania Vergara‐Cobos & Yiyi Zhou, 2019. "Pricing Schemes and Seller Fraud: Evidence from New York City Taxi Rides," Journal of Industrial Economics, Wiley Blackwell, vol. 67(1), pages 56-90, March.
    24. 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.
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