Using a large, nationally representative survey of US consumers, we estimate a causal 20 percent pass-through from inflation expectations to income growth expectations for the average consumer, with considerable heterogeneity in pass-through associated with sociodemographic factors. The results...

Can people develop trust in Artificial Intelligence (AI) by learning about its developments? We conducted a survey experiment in a nationally representative panel survey in the United States (N = 1,491) to study whether exposure to news about AI influences trust differently than learning about...

Using a large, nationally representative survey of US consumers, we estimate a causal 20 percent pass-through from inflation expectations to income growth expectations for the average consumer, with considerable heterogeneity in pass-through associated with sociodemographic factors. The results...

Using a customized survey and an information-provision experiment, we establish that loan officers' individual subjective expectations about inflation, GDP growth, and policy rates vary substantially within and across bank types and have a sizable causal effect on credit supply decisions....

This paper develops a framework to analyze partial population experiments, a generalization of the cluster experimental design where clusters are assigned to different treatment intensities. The framework allows for heterogeneity in cluster sizes and outcome distributions. The paper studies the...

We examine teachers' perceptions toward top performing students and their role model influence on others in an online survey-based experiment. We randomly expose teachers to profiles of top performing students and inquire whether they consider the profiled top performers to be influential role...