More than two million US households have an eviction case filed against them each year.
Policy makers at the federal, state, and local levels are increasingly pursuing policies to …

ABSTRACT While Artificial Intelligence (AI) algorithms have achieved performance levels
comparable to human experts on various predictive tasks, human experts can still access …

The recent digitization of complete count census data is an extraordinary opportunity for
social scientists to create large longitudinal datasets by linking individuals from one census …

We propose a nonparametric test for the exclusion and monotonicity assumptions invoked in
instrumental variable (IV) designs based on the random assignment of cases to judges. We …

Notes. This figure plots race-specific release rates for the 268 judges in our sample against
rates of predicted pretrial misconduct among the set of released defendants. Predicted …

Decision makers, such as doctors, judges, and managers, make consequential choices
based on predictions of unknown outcomes. Do these decision makers make systematic …

We use machine learning as a tool to study decision making, focusing specifically on how
physicians diagnose heart attack. An algorithmic model of a patient's probability of heart …

Human decision-makers frequently override the recommendations generated by predictive
algorithms, but it is unclear whether these discretionary overrides add valuable private …

Introduction Powerful medical education (PME) involves the use of new technologies
informed by the science of expertise that are embedded in laboratories and organizations …

During traffic stops, police search black and Hispanic motorists more than twice as often as
white motorists, yet those searches are no more likely to yield contraband. We ask whether …