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The Value of Flexible Work: Evidence from Uber Drivers
Abstract
Technology has facilitated new, nontraditional work arrangements, including the ride-sharing company Uber. Uber drivers provide rides anytime they choose. Using data on hourly earnings and driving, we document driver utilization of this real-time flexibility. We propose that the value of flexibility can be measured as deriving from time variation in the drivers’ reservation wage. Measuring time variation in drivers’ reservation wages allows us to estimate the surplus and labor supply implications of Uber relative to alternative, less-flexible work arrangements. Despite other drawbacks to the Uber arrangement, we estimate that Uber drivers earn more than twice the surplus they would in less-flexible arrangements.
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Citations
Cited by
Examining the Impact of Algorithmic Control on Uber Drivers’ Technostress
Cram, W. A., Wiener, M., Tarafdar, M., & Benlian, A. (2022) · Journal of Management Information Systems · doi:10.1080/07421222.2022.2063556 · Cited by 246
Kuhn, K. M., Meijerink, J., & Keegan, A. (2021) · Research in Personnel and Human Resources Management · doi:10.1108/s0742-730120210000039001 · Cited by 93
Bibler, A. J., Teltser, K. F., & Tremblay, M. J. (2025) · Real Estate Economics · doi:10.1111/1540-6229.12537 · Cited by 10
Metadata
- Authors
- Chen, M. K., Chevalier, J. A., Rossi, P. E., & Oehlsen, E.
- Venue
- Journal of Political Economy
- Publisher
- University of Chicago Press
- Published
- 2019-12
- Volume
- 127
- Issue
- 6
- Pages
- 2735-2794
- ISSN
- 0022-3808 (ISSN-L)
- 1537-534X
- OpenAlex
- W2986226477
- Cited by
- 391
- References
- 0
- FWCI
- 58.66
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The Value of Flexible Work: Evidence from Uber Drivers. https://app.cochat.ai/papers/10.1086/702171
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- Chen, M. K., Chevalier, J. A., Rossi, P. E., & Oehlsen, E. (2019). The Value of Flexible Work: Evidence from Uber Drivers. Journal of Political Economy. https://doi.org/10.1086/702171
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
