When a police officer decides whether to initiate a traffic stop, the driver’s race is less likely to be known during darkness, but always observed after the stop takes place. If officers use information optimally, this flow of information about race leads to specific empirical predictions, which are tested using data on traffic stops in Minneapolis. The prediction about stops is supported, but those concerning searches are not. This pattern of results implies that police choices were inconsistent, which is evidence against both statistical discrimination and optimizing with a taste for discrimination. The results may reflect cognitive biases present in the time-sensitive decision to initiate a stop
The purpose of this research is to examine whether law enforcement officers are racially profiling m...
In response to widespread allegations of racial and ethnic discrimination in traffic stops, a practi...
We rely on a policy experiment in the New York City Police Department (NYPD) to address the well-kno...
This paper develops a model of traffic stops and subsequent searches in which police officers use in...
Equilibrium models of racial discrimination in law enforcement encounters suggest that in the absenc...
We test derivations from models of statistical discrimination and preferential discrimination with o...
This paper considers the use of outcomes-based tests for detecting racial bias in the context of pol...
State-wide reports on police traffic stops and searches summarize very large populations, making the...
This paper considers the use of outcomes-based tests for detecting racial bias in the context of pol...
This manuscript examines police officer decision making during automobile stops to determine whether...
This paper considers the use of outcomes-based tests for detecting racial bias in the context of pol...
A rapidly growing body of police scholarship has found evidence of racial disparities in traffic sto...
Police checking for illegal drugs are much more likely to search the vehicles of African-American mo...
This Article empirically illustrates that legal doctrines permitting police officers to engage in pr...
Police checking for illegal drugs are much more likely to search the vehicles of African-American mo...
The purpose of this research is to examine whether law enforcement officers are racially profiling m...
In response to widespread allegations of racial and ethnic discrimination in traffic stops, a practi...
We rely on a policy experiment in the New York City Police Department (NYPD) to address the well-kno...
This paper develops a model of traffic stops and subsequent searches in which police officers use in...
Equilibrium models of racial discrimination in law enforcement encounters suggest that in the absenc...
We test derivations from models of statistical discrimination and preferential discrimination with o...
This paper considers the use of outcomes-based tests for detecting racial bias in the context of pol...
State-wide reports on police traffic stops and searches summarize very large populations, making the...
This paper considers the use of outcomes-based tests for detecting racial bias in the context of pol...
This manuscript examines police officer decision making during automobile stops to determine whether...
This paper considers the use of outcomes-based tests for detecting racial bias in the context of pol...
A rapidly growing body of police scholarship has found evidence of racial disparities in traffic sto...
Police checking for illegal drugs are much more likely to search the vehicles of African-American mo...
This Article empirically illustrates that legal doctrines permitting police officers to engage in pr...
Police checking for illegal drugs are much more likely to search the vehicles of African-American mo...
The purpose of this research is to examine whether law enforcement officers are racially profiling m...
In response to widespread allegations of racial and ethnic discrimination in traffic stops, a practi...
We rely on a policy experiment in the New York City Police Department (NYPD) to address the well-kno...