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

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 …

We provide semiparametric identification results for a broad class of learning models in which continuous outcomes …

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 …

maker has learned? The key constraint we impose, which is shared across models of Bayesian learning, is that any learning … Dean 2015) and the NIAS condition (Caplin and Martin 2015) to allow for arbitrary learning. We apply our framework to show … how identification of what was learned can be strengthened with additional assumptions on the form of Bayesian learning …

Mastery learning - the process by which students must demonstrate proficiency with a single topic before moving on - is … implement it into a classroom setting. This study evaluates a program to encourage greater mastery learning through technology … coaching in how to use Computer Assisted Learning (CAL) for helping students follow a customized roadmap of incremental …