theory to model these inference exercises and to assess their general possibility of success. So, is it possible to infer …

not its permanent and transitory components separately. The model''s predictions under learning differ substantially from … explanations of the Feldstein-Horioka puzzle, learning induces high correlations irrespective of the assumed persistence of shocks …

This paper considers optimal communication by monetary policy committees in a model of imperfect knowledge and learning … learning about the committee''s decision-making process and policy preferences. When committee members have heterogeneous …

benefits and limitations of central bank communications in a model of imperfect knowledge and learning. It is shown that the …

number of machine learning algorithms, a method that is data driven, and imposing limited restrictions on the nature of the …

We leverage insights from machine learning to optimize the tradeoff between bias and variance when estimating economic … models using pooled datasets. Specifically, we develop a simple algorithm that estimates the similarity of economic … well as emerging market and developing economies, suggesting that machine learning techniques using pooled data could be an …