Many markets, including markets for IPOs and debt issuances, are syndicated: each winning bidder invites competitors to join its syndicate to complete production. Using repeated extensive form games, we show that collusion in syndicated markets may become easier as market concentration falls,...

The U.S. residential real estate agency market presents a puzzle for economic theory: commissions on real estate transactions have remained high for decades even though entry is frequent and costs are low. We model the real estate agency market, and other brokered markets, as a game in which...

Many economic-theoretic models incorporate finiteness assumptions that, while introduced for simplicity, play a real role in the analysis. Such assumptions introduce a conceptual problem, as results that rely on finiteness are often implicitly nonrobust; for example, they may depend upon edge...

This paper develops a class of equilibrium-independent predictions of competitive equilibrium with indivisibilities. Specifically, we prove an analogue of the “Lone Wolf Theorem” of classical matching theory, showing that when utility is perfectly transferable, any agent who does not...

We give a direct proof of one-sided strategy-proofness for worker-firm matching under continuously transferable utility. A new “Lone Wolf” theorem (Jagadeesan et al. (2017)) for settings with transferable utility allows us to adapt the method of proving one-sided strategy-proofness that is...

Market design seeks to translate economic theory and analysis into practical solutions to real-world problems. By redesigning both the rules that guide market transactions and the infrastructure that enables those transactions to take place, market designers can address a broad range of market...

We model spatial clusters of similar firms. Our model highlights how agglomerative forces lead to localized, individual connections among firms, while interaction costs generate a defined distance over which attraction forces operate. Overlapping firm interactions yield agglomeration clusters...