Much has been written about deterrence, the process of committing to punish an adversary to prevent an attack. But in sufficiently rich environments where attacks evolve over time, formulating a strategy involves not only deterrence but also appeasement, the less costly process of not responding...

We provide a method to measure welfare, in money-metric terms, taking into account expectations about the future. Our two key assumptions are that (1) the expenditure function is separable between the present and the future, and (2) there are some households that do not face idiosyncratic...

This paper develops an asset market based test for preference for the timing of resolution of uncertainty. Our main theorem provides a characterization of preference for early resolution of uncertainty in terms of the risk premium of assets realized during the period when the informativeness of...

Newly-developed large language models (LLM)--because of how they are trained and designed--are implicit computational models of humans--a homo silicus. LLMs can be used like economists use homo economicus: they can be given endowments, information, preferences, and so on, and then their behavior...

Forecasters predicting how people change their behavior in response to a treatment or intervention often consider a set of alternatives. In contrast, those who are treated are typically exposed to only one of the treatment alternatives. For example, managers selecting a wage schedule consider a...

We experimentally study unanimity and majority voting rules in multilateral bargaining environments with stochastic future surplus. In these settings, reaching agreement when expected future surplus is sufficiently higher than the current surplus is inefficient. Theoretically, such...

During the course of the COVID-19 pandemic, a common strategy for public health organizations around the world has been to launch interventions via advertising campaigns on social media. Despite this ubiquity, little has been known about their average effectiveness. We conduct a large-scale...

Online platforms often face challenges being both fair (i.e., non-discriminatory) and efficient (i.e., maximizing revenue). Using computer vision algorithms and observational data from a microlending marketplace, we find that choices made by borrowers creating online profiles impact both of...

Electoral incentives may lead policymakers to eschew opportunities for common-interest reform, focusing instead on zero-sum, partisan policymaking. By forgoing opportunities for common-interest reforms, incumbents may convince their constituents that such reforms are rarely feasible, so that...