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Pay, Passengers and Profits: Effects of Employee Status for California TNC Drivers

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  • Reich, Michael

Abstract

Uber and Lyft currently treat their California drivers as independent contractors, despite state employment law giving the drivers employee status. The companies claim that drivers are already well-paid and that employee status would bring the industry to its knees. Driver advocates claim that drivers are low-paid and do not receive basic benefits and protections, such as unemployment insurance and workers’ compensation, and that the companies should treat the drivers as employees and adhere to California employment law. I examine here the economic and financial consequences of switching the drivers to employee status. In particular, I examine the effects on pay and employment of the drivers, the effects on passengers, and the profitability of the industry. I find that: most drivers are paid much less than the current minimum wage and that overall compensation of drivers would increase 30 percent; that driver schedule flexibility would not be affected; passenger demand would fall by 1 or 2 percent; and profits of the companies would increase.

Suggested Citation

  • Reich, Michael, 2020. "Pay, Passengers and Profits: Effects of Employee Status for California TNC Drivers," Institute for Research on Labor and Employment, Working Paper Series qt86s4249x, Institute of Industrial Relations, UC Berkeley.
  • Handle: RePEc:cdl:indrel:qt86s4249x
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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.
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    Cited by:

    1. Shetty, Akhil & Li, Sen & Tavafoghi, Hamidreza & Qin, Junjie & Poolla, Kameshwar & Varaiya, Pravin, 2022. "An analysis of labor regulations for transportation network companies," Economics of Transportation, Elsevier, vol. 32(C).
    2. Di Ao & Jing Gao & Zhijie Lai & Sen Li, 2021. "Regulating Transportation Network Companies with a Mixture of Autonomous Vehicles and For-Hire Human Drivers," Papers 2112.07218, arXiv.org, revised Dec 2023.

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    More about this item

    Keywords

    Social and Behavioral Sciences; gig economy; rideshare; independent contractors; transportation network companies; Uber; Lyft;
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