Equilibrium Information Aggregation under Machine Learning

Andrew Ellis, Michele Piccione, Shengxing Zhang

We introduce a framework for studying the equilibrium effects of machine learning. Agents process information using a Chow and Liu (1968) tree, a widely-used machine learning proce…