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 …

Problem definition: Early research has documented significant growth in ride-hailing
services worldwide and allied benefits. However, growing evidence of their negative …

We estimate valuations of time using detailed consumer choice data from a large European
ride hail platform, where drivers bid on trips and consumers choose between a set of …

This paper studies platform competition in the app-based transportation industry. I present a
model of competing platforms in transport equilibrium, characterizing analytically the profit …

ABSTRACT A key reason for the existence of cities are the externalities created when
people cluster together in close proximity. During Covid, such interactions came with health …

We assemble a new global database on motor vehicle travel speed in over 1,200 large cities
in 152 countries. We then estimate comparable city-level indices of travel speed and …

We characterize optimal urban transportation policies in the presence of congestion and
environmental externalities and evaluate their welfare and distributional effects. We present …

Abstract In 2019, Abhijit Banerjee, Esther Duflo, and Michael Kremer received the Sveriges
Riksbank Prize in Economic Sciences in Memory of Alfred Nobel. These three scholars were …

Designing public transport networks involves tradeoffs between extensive geographic
coverage, frequent service on each route, and relying on interconnections as opposed to …

Optimal transportation policies depend on demand elasticities that interact across modes
and vary across the population, but understanding how and why these elasticities vary has …