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 …

represent an understudied channel for this type of social learning. We study an environmentally-focused law in the shale gas …

a quality upgrade one of these inputs requires a period of learning before it can be used effectively, then in general … wasteful to tie up funds in the other inputs which will be underutilized until the date learning is over. We provide evidence …

, endogenous learning here eliminates that effect …

and suggest a potentially important role of variation in rates of learning disability in explaining cross-country growth …

Recent medical research shows that health is highly influential for learning and the ability to think laterally …; however, past economic studies have failed to empirically examine the influence of health on learning, schooling, and ideas …

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 …

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

We estimate the impact of district-level schooling mode (in-person versus hybrid or distance learning) on test scores …

triggers large asset-price jumps. We show that the learning choice is critically determined by preference parameters and the …