This paper studies the problem of optimally allocating treatments in the presence of spillover effects, using information from a (quasi-)experiment. I introduce a method that maximizes the sample analog of average social welfare when spillovers occur. I...
Abstract: In the empirical study of persuasion, researchers often use a binary instrument to encourage individuals to consume information and take some action. We show that with the Imbens-Angrist instrumental variable model assumptions and the monotone...
Ideal points are widely used to measure the ideology and policy preferences of political actors, ranging from voters and legislators to sovereign states. Yet, an outstanding challenge is to estimate ideal points specific to a single issue area...
Over the last few decades, social scientists have developed and applied a host of statistical methods to make valid causal inferences, known as the credibility revolution. This trend has primarily focused on internal validity — researchers aim to...
Abstract: Scholars in the social sciences are increasingly relying on machine learning (ML) techniques to construct data from large corpora of text and images. The ML-generated variables are subsequently utilized in statistical analysis to address...
While there now exists a large literature on policy evaluation and learning, much of prior work assumes that the treatment assignment of one unit does not affect the outcome of another unit. Unfortunately, ignoring interference may lead to...
Federated or multi-site studies have distinct advantages over single-site studies, including increased generalizability, the ability to study underrepresented populations, and the opportunity to study rare exposures and outcomes. However, these studies...
