Using Big Data to Estimate Consumer Surplus: The Case of Uber

By Peter Cohen, Robert W. Hahn, Jonathan V. Hall, Steven D. Levitt, Robert Metcalfe. 2016

323 citations recorded by the source corpus.

Subfields: Marketing, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/335f52288d0e2973aaf5dbb369198084ec425704

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Citations in the corpus

The Current and Future State of the Sharing Economy (2017, background): “Cohen et al. (2016) attempted to measure consumer surplus for Uber users and determined that the company could be charging users much more for rides than they already do (Worstall, 2016).”
Is Uber a substitute or complement for public transit? (2018, methodology): “Results from previous work indicated that Uber increases welfare at little cost; it increases consumer surplus Cohen et al. (2016) without lowering wages for taxi drivers Cramer (2016).”
A strategic framework for a profitable business model in the sharing economy (2017, background): “twice as much as the revenues received by service providers, and six times larger than Uber's revenue after the service provider share is accounted for (Cohen et al., 2016).”
Marketing in the Sharing Economy (2019, background): “2017) and improved resource usage efficiency (Cramer and Krueger 2016) and may increase consumer welfare (Cohen et al. 2016).”
The Welfare Effects of Peer Entry in the Accommodation Market: The Case of Airbnb (2018, unknown): “While Cohen et al. (2016) assume that market structure remains constant, we incorporate capacity constraints and allow for hotel prices to adjust endogenously.”
Welcome to the Gig Economy: neoliberal industrial relations and the case of Uber (2017, background): “Cohen et al. (2016) estimated that ‘‘for each dollar spent by consumers [on Uber rides], about $1.60 of consumer surplus is generated.”
Ridesourcing systems: A framework and review (2019, background): “Some studies, such as Hall et al. (2015), Cohen et al. (2016), Guo et al. (2018) , and Jiao (2018) , have examined the practices of surge pricing and/or the reactions of different stakeholders using real data.”
The Role of Surge Pricing on a Service Platform with Self-Scheduling Capacity (2017, methodology): “Cohen et al. (2016) use Uber transaction data to measure the amount of consumer surplus generated given the implementation of surge pricing, but they do not estimate a counterfactual consumer surplus level with other contractual forms.”