“...Machine-learning prediction methods have been extremely productive in applications ranging from medicine to allocating fire and health inspectors in cities...”

“...We propose generalized random forests, a method for nonparametric statistical estimation based on random forests (Breiman [Mach. Learn. 45 (2001) 5–32]) that...”

“...This paper constructs an efficient, budget-balanced, Bayesian incentive-compatible mechanism for a general dynamic environment with quasilinear payoffs in...”

“...This article examines a model in which advertisers bid for "sponsored-link" positions on a search engine. The value advertisers derive from each position is...”

“...We develop a model of advertising markets in an environment where consumers may switch (or “multi-home”) across publishers. Consumer switching generates...”

“...Researchers often report estimates and standard errors for the object of interest (such as a treatment effect) based on a single specification of a statistical...”

“...Yuliy Sannikov is an extraordinary theorist who has developed methods that offer new insights in analyzing problems that had seemed well-studied and familiar:...”

“...There is a large literature on semiparametric estimation of average treatment effects under unconfounded treatment assignment in settings with a fixed number...”

“...We consider a dynamic Bertrand game in which prices are publicly observed and each firm receives a privately observed cost shock in each period. Although cost...”

“...We discuss the relevance of the recent machine learning (ML) literature for economics and econometrics. First we discuss the differences in goals, methods, and...”