'Epidemiological' models of belief formation put social interactions at their core; such models are widely used by scholars who are not economists to study the dynamics of beliefs in populations. We survey the literature in which economists attempting to model the consequences of beliefs about...

A rich literature explores gender differences between men and women, but an increasing share of the population identifies their gender in some other way. Analyzing data on roughly 10,000 students and 1,500 adults, we find that such gender minorities are less confident and provide less favorable...

We study vote trading among U.S. Congress members. By tracking roll-call votes within bills across five legislatures and politicians' personal connections made during the school years, we document a propensity of connected legislators to vote together that depends on how salient the bill is to...

We experimentally test how psychological motivations can impact the processing of purely objective information. We first document that, when the high-stakes College Entrance Exam is held in the month of Ramadan, Chinese Muslim students perform significantly worse. When asked about the impact of...

Can incorporating expectations-based-reference-dependence (EBRD) considerations reduce seemingly dominated choices in the Deferred Acceptance (DA) mechanism? We run two experiments (total N = 500) where participants are randomly assigned into one of four DA variants--{static, dynamic} * {student...

The central question we address in this paper is: what can an analyst infer from choice data about what a decision maker has learned? The key constraint we impose, which is shared across models of Bayesian learning, is that any learning must be rationalizable. To implement this constraint, we...

We study a sequential experimentation model with endogenous feedback. Agents choose between a safe and risky action, the latter generating stochastic rewards. When making this choice, each agent is selfishly motivated (myopic). However, agents can disclose their experiences to a public record,...

We document two new facts about the distributions of answers in famous statistical problems: they are i) multi-modal and ii) unstable with respect to irrelevant changes in the problem. We offer a model in which, when solving a problem, people represent each hypothesis by attending "bottom up" to...

We build a model of online behavioral manipulation driven by AI advances. A platform dynamically offers one of n products to a user who slowly learns product quality. User learning depends on a product's "glossiness,' which captures attributes that make products appear more attractive than they...