Machine learning is a growing method for causal inference. In machine learning settings, prediction errors are a commonly overlooked problem that can bias results and lead to arbitrarily incorrect parameter estimates. We consider a two-stage model where (1) machine learning is used to predict...

Previous studies suggest a significant role of language in the court room, yet none has identified a definitive correlation between vocal characteristics and court outcomes. This paper demonstrates that voice-based snap judgments based solely on the introductory sentences of lawyers arguing in...

In the United States, foreign nationals who fear persecution in their home country can apply for asylum under the Refugee Act of 1980. Over the past decade, legal scholarship has uncovered significant disparities in asylum adjudication by judge, by region of the United States in which the...