2021
DOI: 10.1257/app.20190655
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Uber versus Taxi: A Driver’s Eye View

Abstract: Rideshare drivers pay a proportion of their fares to a ride-hailing platform operator, a commission-based compensation model used by many service providers. To Uber drivers, this commission is known as the Uber fee. By contrast, traditional taxi drivers in most US cities make a fixed payment independent of their earnings, usually a weekly or daily medallion lease, keeping every fare dollar net of lease costs and other expenses. We assess these compensation models using an experiment that offered random samples… Show more

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Cited by 27 publications
(10 citation statements)
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“…The rise of ride-hailing services has motivated researchers to examine various facets of surge pricing (Angrist et al, 2021;Bai et al, 2019;Cachon et al, 2017;Chen & Sheldon, 2015;Guda & Subramanian, 2019;Ke et al, 2020;Taylor, 2018). This research stream is based on a monopoly setting.…”
Section: Related Literature and Contributionsmentioning
confidence: 99%
See 1 more Smart Citation
“…The rise of ride-hailing services has motivated researchers to examine various facets of surge pricing (Angrist et al, 2021;Bai et al, 2019;Cachon et al, 2017;Chen & Sheldon, 2015;Guda & Subramanian, 2019;Ke et al, 2020;Taylor, 2018). This research stream is based on a monopoly setting.…”
Section: Related Literature and Contributionsmentioning
confidence: 99%
“…Recent studies examine how employing “smart meters” to alert consumers about peak prices can reduce consumers' energy usage during peak periods (e.g., Burkhardt et al., 2018). The rise of ride‐hailing services has motivated researchers to examine various facets of surge pricing (Angrist et al., 2021; Bai et al., 2019; Cachon et al., 2017; Chen & Sheldon, 2015; Guda & Subramanian, 2019; Ke et al., 2020; Taylor, 2018). This research stream is based on a monopoly setting.…”
Section: Introductionmentioning
confidence: 99%
“…Chen et al (2017) showed that Uber drivers benefit significantly from real-time flexibility in both setting a customized work schedule and also adjusting it throughout the day. Angrist et al (2017) compared the differences in the compensation arrangements available to traditional taxi and ridesharing drivers and evaluated the economic value of ride-sharing work opportunities for drivers. Cook et al (2018) found that although the sharing economy brings more flexibility in employment, there still exists a significant gender earning gap among Uber drivers.…”
Section: Sharing Economy Operationsmentioning
confidence: 99%
“…As for the research in the UK, people named Joshua Angrist mainly focus on the parameters that decide the share-taxi trade-off that includes labor supply elasticity which tells us how working hours relate to change in wages and the lease aversion [3]. Also, the attitude of drivers towards leasing functions as well.…”
Section: Previous Researchmentioning
confidence: 99%