What do machines learn, and why? To answer these questions we import models of human cognition into machine learning …. We propose two ways of modeling machine learners based on this join: feasibility-based and cost-based machine learning …. We evaluate and estimate our models using a deep learning convolutional neural network that predicts pneumonia from chest …

learning …

We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples … designed for both financial economists interested in grasping machine learning tools, as well as for statisticians and machine …

machine learning model specifications. Each investor forms return forecasts from their own specific model using data inputs …

We theoretically characterize the behavior of machine learning asset pricing models. We prove that expected out …

We survey work using Bayesian learning in macroeconomics, highlighting common themes and new directions. First, we … present many of the common types of learning problems agents face---signal extraction problems---and trace out their effects … information. Models differ in their motives for information acquisition and the cost of information, or learning technology …

Interventions to promote learning are often categorized into supply- and demand-side approaches. In a randomized … experiment to promote learning about COVID-19 among Mozambican adults, we study the interaction between a supply and a demand …

experience-based learning and sketch a simple model of its role in the stock market based on Malmendier et al. (2020a,b). I then …