We study the propagation of nominal shocks in a dispersed information economy where firms learn from and respond to information generated by their activities in product and factor markets. We prove the existence of a "Hayekian benchmark", defined by conditions under which imperfect information...

We find evidence suggesting that surveys of professional forecasters are biased by strategic incentives. First, we find that individual forecasts overreact to idiosyncratic information but underreact to common information. Second, we show that this bias is not present in forecasts data that is...

Salary negotiations are a widespread phenomenon that can shape key labor market outcomes, such as welfare and inequality. We provide novel empirical and theoretical insights into the causes and consequences of salary negotiations. We conducted two field experiments involving over 3,100 job...

We develop a model of strategic information provision where politicians choose how to allocate limited disclosure across multiple policy dimensions. Citizens are heterogeneous statistical learners who interpret data differently, following Liang (2021). Our key insight: spreading information...

Spending induced by health insurance is often called moral hazard and definitionally assumed to be inefficient. We adapt standard models and show that for those living "hand-to-mouth", the financing benefits of insurance cause a portion of moral hazard to be efficient. Although insurance's price...

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...

Economics has long studied how consumers respond to the disclosure of information about firms. We study a case in which the disclosed information is unrelated to the product or firm leadership, but which could still potentially affect consumer patronage through the mechanism of repugnance, as...

We develop and estimate a model of consumer search with spatial learning. Consumers make inferences from previously searched objects to unsearched objects that are nearby in attribute space, generating path dependence in search sequences. The estimated model rationalizes patterns in data on...

For decades credit rating agencies were viewed as trusted arbiters of creditworthiness and their ratings as important tools for managing risk. The common narrative is that the value of ratings was compromised by the evolution of the industry to a form where issuers pay for ratings. In this paper...

We propose a general equilibrium model where two special interest groups (SIGs) compete to influence public opinion. Citizens with heterogeneous priors over a binary state of the world receive reports drawn from a continuous message space by a variety of sources. The two opposite SIGs attempt to...