We study a generalization of the static model of Kyle with two risk neutral insiders to the case where each insider is partially informed about the value of the stock. First, we provide a necessary and sufficient condition for the uniqueness of the linear Bayesian equilibrium. Specifically, we...

The mathematical analogies between economics and classical mechanics can be extended from constrained optimization to constrained dynamics by formalizing economic (constraint) forces and economic power in analogy to physical (constraint) forces in Lagrangian mechanics. In a...

We experimentally study decentralized one-to-one matching markets with transfers. We vary the information available to participants, complete or incomplete, and the surplus structure, supermodular or submodular. Several insights emerge. First, while markets often culminate in efficient...

This paper investigates the learnability of an equilibrium where agents formulate their forecasts under adaptive learning with heterogeneously misspecified econometric models; the equilibrium is called a Heterogeneous Misspecification Equilibrium (HME). The paper finds that the learnability...

We study the properties of generalized stochastic gradient (GSG) learning in forward-looking models. We examine how the conditions for stability of standard stochastic gradient (SG) learning both differ from and are related to E-stability, which governs stability under least squares learning. SG...