We evaluate dynamic oligopoly estimators with laboratory data. Using a stylized en-try/exit game, we estimate structural parameters under the assumption that the data are generated by a Markov-perfect equilibrium (MPE) and use the estimates to predict counterfactual behavior. The concern is that...

Intermediaries in decentralized markets can affect buyer welfare both directly, by reducing expenses for buyers with high search cost and indirectly, through a search-externality that affects the prices paid by buyers that do not use intermediaries. I investigate the magnitude of these effects...

We propose a new hypothesis, the Power of Certainty, to help explain agents' difficulties in making choices when there are multiple possible payoff-relevant states. In the probabilistic 'Acquiring-a-Company' problem an agent submits a price to a firm before knowing whether the firm is of low or...

We recover valuations of time using detailed data from a large ride-hail platform, where drivers bid on trips and consumers choose between a set of rides with different prices and waiting times. We estimate demand as a function of prices and waiting times and find that price elasticities are...

This paper studies the effects of the EU's General Data Protection Regulation (GDPR) on the ability of firms to collect consumer data, identify consumers over time, accrue revenue via online advertising, and predict their behavior. Utilizing a novel dataset by an intermediary that spans much of...

This paper studies the intermediation of auto loans through auto dealers using new and comprehensive administrative data. The arrangements between auto dealers and lenders incentivize dealers to increase loan prices. We leverage details of the corresponding contracts to demonstrate that many...

This paper presents a dynamic general equilibrium model of a taxi market. The model is estimated using data from New York City yellow cabs. Two salient features by which most taxi markets deviate from the efficient market ideal are, first, matching frictions created by the need for both market...

We characterize optimal urban transportation policies in the presence of congestion and environmental externalities and evaluate their welfare and distributional effects. We present a framework of a municipal government that implements different transportation equilibria through its choice of...

While Artificial Intelligence (AI) algorithms have achieved performance levels comparable to human experts on various predictive tasks, human experts can still access valuable contextual information not yet incorporated into AI predictions. Humans assisted by AI predictions could outperform both...