Technology has facilitated new, nontraditional work arrangements, including the ride-
sharing company Uber. Uber drivers provide rides anytime they choose. Using data on …

In this paper, we study the role of the transportation sector in world trade. We build a spatial
model that centers on the interaction of the market for (oceanic) transportation services and …

In most cities, the taxi industry is highly regulated and has restricted entry. Ride sharing
services, such as Uber and Lyft, which use mobile internet technology to connect …

Digital platforms provide a variety of technology-enabled tools that enhance market
transparency, such as real-time monitoring, ratings of buyers and sellers, and low-cost …

The chapter has ten sections, which cover the theory of two-sided markets and related
empirical work. Section 1 introduces the reader to the literature. Section 2 covers the case of …

This paper provides field evidence on how reference points adjust, a degree of freedom in
reference-dependence models. Examining this in the context of cabdrivers' daily labor …

This paper proposes a general model for describing the equilibrium state of a ride-sourcing
market with an arbitrary number of platforms competing with each other. As the number of …

This article analyses the dynamic spatial equilibrium of taxicabs and shows how common
taxi regulations lead to substantial inefficiencies as a result of search frictions and mis …

In the last decade, new technologies have led to a boom in real-time pricing. I study the most
salient example, surge pricing in ride hailing. Using data from Uber, I develop an empirical …

We show that ride-hailing markets are prone to a matching failure (“wild goose chases”) in
which high demand sets off a harmful feedback cycle of few idle drivers, high pickup times …