An Analysis of the Labor Market for Uber’s Driver-Partners in the United States

By Jonathan V. Hall, Alan B. Krueger. 2018

863 citations recorded by the source corpus.

Subfields: Automotive Engineering, Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/a644c03a5b52ba414cda89e27b9566b04ebe7a2a

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Citations in the corpus

Using Big Data to Estimate Consumer Surplus: The Case of Uber (2016, background): “…algorithm monitors rider demand and available driver supply and institutes a multiplier on the base price when demand outstrips supply at the base price.18 This pricing system helps increase supply at times of high demand, and allocate rides to riders who value them most highly (Hall et al. 2015).”
The Passions and the Interests: Unpacking the 'Sharing Economy' (2016, background): “For instance, the paper co-authored by Krueger and a researcher working for Uber (Hall & Krueger 2015), has done more to provoke further controversies than to provide evidence for a more balanced debate.”
Scoping the Sharing Economy: Origins, Definitions, Impact and Regulatory Issues (2016, background): “In their review of the debate on contingent work, Hall & Krueger (2015) note that according to US official statistics, this form of less secure employment accounts for a very small percentage of total employment and has not grown much since the 1990s.”
The Rise of the Sharing Economy: Estimating the Impact of Airbnb on the Hotel Industry (2017, neutral): “In closing, we compare and contrast our observations with another sharing economy study that observes (cid:29)exible supply entering the Uber market during peak periods (Hall et al., 2015).”
Can You Gig It? An Empirical Examination of the Gig Economy and Entrepreneurial Activity (2018, background): “…businesses provide workers with an unprecedented degree of flexibility, allowing then to set their own schedules while earning stable pay (Hall and Krueger 2015).4,5 On the other hand, many researchers have noted that un- and under-employment are significant drivers of entrepreneurial…”
Preparing for the future of Artificial Intelligence (2016, methodology): “18 30 Calculations based on Hall and Krueger, 2016, (http://www.nber.org/papers/w22843.pdf), who note the number of active driver-partners for Uber more than doubled every six months in the period 2012-2014, and expect this growth rate to continue into 2015. CEA uses data from Harris and Krueger (20”
The Role of Surge Pricing on a Service Platform with Self-Scheduling Capacity (2017, background): “Although the platform has far less control over how many providers work at any one time, providers gain the freedom to “self-schedule” the hours they work, presumably allowing them to better integrate their work with the other activities in their lives (Hall and Krueger 2015).”
Platforms in the peer-to-peer sharing economy (2019, background): “Approximately two-thirds of Uber drivers use the platform as an additional income source over regular employment; Uber is the only source of personal income only for one-fifth of drivers (Hall and Krueger, 2018).”
The rise of the "just-in-time workforce": on-demand work, crowdwork and labour protection in the "gig-economy" (2015, background): “…and workers’ compensation) but not others (like Social Security and Medicare taxes)”, following the examples of “other countries, including Germany, Canada, and France” that “have rewritten their laws to expand the number of worker categories” (Surowiecki, 2015; see also Hagiu, 2015; Weber, 2015).”
Uber happy? Work and well-being in the ‘Gig Economy’ (2019, background): “For example, that few London drivers were unemployed prior to joining Uber is consistent with previous studies of Uber drivers in Egypt and the United States (Hall and Krueger, 2018; Rizk, 2017).”
The Current and Future State of the Sharing Economy (2017, neutral): “Research conducted by Jonathan Hall and Alan Krueger on Uber’s labour market uncovered significant demographic and earnings-related data (Hall & Krueger, 2015).”
Drivers of disruption? Estimating the Uber effect (2018, background): “Our findings are thus consistent with evidence showing that Uber drivers exhibit higher earnings than conventional taxi drivers (Hall and Krueger, 2015), reflecting also the relatively high capacity utilization the Uber platform permits (i.”
Paychecks, Paydays, and the Online Platform Economy: Big Data on Income Volatility (2016, neutral): “In any given week, 65 percent of Uber driver-partners change the number of hours by more than 25 percent (Hall and Krueger, 2015).”