Pricing Efficiently in Designed Markets: The Case of Ride-Sharing∗

In many designed markets, the platform eliminates price dispersion by setting the product market price, yet still allows free entry and exit. Using data from Uber, we show that the price profoundly affects the market equilibrium, but does not substantially change the hourly earnings rate of drivers in the long-run. Tracing out how the market re-equilibrates, we show that following fare increases, drivers make more money per trip—and initially more per hour-worked—and as a result, work more hours. However, this increase in hours-worked has a business stealing effect, with drivers spending a smaller fraction of hours-worked with paying customers. This reduced driver productivity, or “utilization” is the main reason the hourly earnings rate is unchanged. This price/utilization trade-off has implications for the efficiency of ride-sharing markets. ∗Thanks to Josh Angrist, Susan Athey, David Autor, Erik Brynjolfsson, Peter Cohen, Keith Chen, Judith Chevalier, Will Dobbie, Arin Dube, Mark Duggan, Amy Finkelstein, Hank Farber, Andrey Fradkin, Ed Glaeser, Austan Goolsbee, Bob Hall, Steve Levitt, Alexandre Mas, Enrico Moretti, Haim Mendelson Ben Olken, Mandy Pallais, Paul Oyer, Jim Savage, Robin Yerkes Horton, and especially Jason Dowlatabadi for assistance, helpful comments and suggestions. This manuscript was not subject to prior review by any party, as per the research contract signed at the outset of this project. The views expressed here are solely those of the authors. The code and data to replicate this study are or will be publicly available at http://www.john-joseph-horton.com/papers/uber price.data. Both Hall and Knoepfle are employees and shareholders of Uber Technologies. Robin Yerkes Horton is an employee and shareholder of Uber Technologies and is John Horton’s spouse.

[1]  M. Keith Chen,et al.  Dynamic Pricing in a Labor Market: Surge Pricing and Flexible Work on the Uber Platform , 2016, EC.

[2]  R. Jensen The Digital Provide: Information (Technology), Market Performance, and Welfare in the South Indian Fisheries Sector , 2007 .

[3]  Steven D. Levitt,et al.  Using Big Data to Estimate Consumer Surplus: The Case of Uber , 2016 .

[4]  R. Arnott Taxi Travel Should Be Subsidized , 1996 .

[5]  Enrico Moretti,et al.  Can Free Entry Be Inefficient? Fixed Commissions and Social Waste in the Real Estate Industry , 2002, Journal of Political Economy.

[6]  Michael Wooldridge,et al.  Econometric Analysis of Cross Section and Panel Data, 2nd Edition , 2001 .

[7]  P. Diamond A model of price adjustment , 1971 .

[8]  T. Bewley Why Wages Don't Fall during a Recession , 1999 .

[9]  M. Reich,et al.  Do Minimum Wages Really Reduce Teen Employment? Accounting for Heterogeneity and Selectivity in State Panel Data , 2010 .

[10]  Nicholas Buchholz,et al.  Spatial Equilibrium , Search Frictions and Efficient Regulation in the Taxi Industry , 2015 .

[11]  Kevin Bryan,et al.  A Theory of Multihoming in Rideshare Competition , 2018, Journal of Economics & Management Strategy.

[12]  Henry S. Farber,et al.  Is Tomorrow Another Day? The Labor Supply of New York City Cabdrivers , 2005, Journal of Political Economy.

[13]  Jonathan Hall,et al.  Uber vs. Taxi: A Driver's Eye View , 2017 .

[14]  R. Thaler,et al.  Labor Supply of New York City Cabdrivers: One Day at a Time , 1997 .

[15]  C. Frey,et al.  Drivers of disruption? Estimating the Uber effect , 2018, European Economic Review.

[16]  Susan Athey,et al.  Design-Based Analysis in Difference-in-Differences Settings with Staggered Adoption , 2018, Journal of Econometrics.

[17]  Liyang Sun,et al.  Estimating Dynamic Treatment Effects in Event Studies With Heterogeneous Treatment Effects , 2018, Journal of Econometrics.

[18]  Alessandro Lizzeri,et al.  Frictions in a Competitive, Regulated Market: Evidence from Taxis , 2015, American Economic Review.

[19]  A. Krueger,et al.  An Analysis of the Labor Market for Uber’s Driver-Partners in the United States , 2016 .

[20]  M. Todaro,et al.  Migration, Unemployment and Developmnent: A Two-Sector Analysis , 2007 .

[21]  E. Duflo,et al.  How Much Should We Trust Differences-in-Differences Estimates? , 2001 .

[22]  Andrew Goodman-Bacon Difference-in-Differences with Variation in Treatment Timing , 2018, Journal of Econometrics.

[23]  H. Varian Computer Mediated Transactions , 2010 .

[24]  D. MacKenzie,et al.  The use of knowledge about society , 2008 .

[25]  E. Glen Weyl,et al.  Surge Pricing Solves the Wild Goose Chase , 2017, EC.

[26]  Tom Gole,et al.  Competition and regulation in the taxi industry , 2007 .