This paper is concerned with how a front-running high-frequency trader (HFT) influences the large trader: whether and under what conditions the latter is harmed or benefited. We study, in the extended Kyle's model, the interactions between a large informed trader and an HFT who can predict the...

We conduct a field experiment on a movie-recommendation platform to identify if and how recommendations affect consumption. We use within-consumer randomization at the good level and elicit beliefs about unconsumed goods to disentangle exposure from informational effects. We find recommendations...

The elegant economic picture of rational consumers achieving Pareto optimality through trade in decentralized self-organized markets is blurred by market imperfections and choices inconsistent with consumer self-interest. Behavioral economics has documented these errors in choice, and considered...

Standard auction formats feature either an upper bound on the equilibrium price that descends over time (as in the Dutch auction) or a lower bound on the equilibrium price that ascends over time (as in the English auction). We show that, in some settings with costly information acquisition,...

Mechanism design is a subfield of game theory that aims to design games whose equilibria have desired properties such as achieving high efficiency or high revenue. Algorithmic mechanism design is a subfield that lies on the border of mechanism design and computer science and deals with mechanism...

This paper investigates a dynamic agency problem that includes the AI-style agent and principal. We develop a quantitative bionic approach to dynamic contracting based on calibrating the incentive properties of a workhorse contracts model in which self-awareness and memory are endowed. We...

This paper studies the strategic interaction of algorithms in economic games. We analyze games where learning algorithms play against each other while searching for the best strategy. We first establish a fluid approximation technique that enables us to characterize the learning outcomes in...

I consider the case of consumer-contributed markets, defined as markets where the consumer herself has a role in the supply side of the market as well. Consequently, the prominent issue is offering the consumer incentives to fulfil that role, which clearly bears a cost to her. The role of the...

We conduct a field experiment on a movie-recommendation platform to identify if and how recommendations affect consumption. We use within-consumer randomization at the good level and elicit beliefs about unconsumed goods to disentangle exposure from informational effects. We find recommendations...

In a model of multi-dealer platforms where dealers endogenously choose whether to respond to a client’s request for quote, the client chooses to contact only two dealers in equilibrium. Contacting more dealers would lower each dealer’s response probability, which in turn causes each...