Doubly Robust Internal Benchmarking and False Discovery Rates for Detecting Racial Bias in Police Stops

By Greg Ridgeway, J. Macdonald. 2009

92 citations recorded by the source corpus.

Subfields: Political Science and International Relations, Sociology and Political Science, Statistics and Probability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Political Science and International Relations

1. Sam Corbett-Davies
2. Krishna P. Gummadi
3. Muhammad Bilal Zafar
4. Camelia Simoiu
5. Steven Mello
6. Manuel Gomez-Rodriguez
7. Sharad Goel
8. Isabel Valera

In Sociology and Political Science

1. Krishna P. Gummadi
2. Sam Corbett-Davies
3. Muhammad Bilal Zafar
4. Sharad Goel
5. Manuel Gomez-Rodriguez
6. Isabel Valera
7. Camelia Simoiu
8. Steven Mello

In Statistics and Probability

1. Krishna P. Gummadi
2. Muhammad Bilal Zafar
3. Sharad Goel
4. Sam Corbett-Davies
5. Isabel Valera
6. Manuel Gomez-Rodriguez
7. Steven Mello
8. Rong Ge

Citations in the corpus

• Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment (2016, methodology): “Finally, we experiment with synthetic as well as real world datasets and show that our methodology can be effectively used to avoid disparate mistreatment.”
• The Problem of Infra-marginality in Outcome Tests for Discrimination (2016, methodology): “Finally, “internal benchmarks” have been used to flag potentially biased officers by comparing each officer’s stop decisions to those made by others patrolling the same area at the same time (Ridgeway and MacDonald, 2009; Walker, 2003).”
• Evaluating online ad campaigns in a pipeline: causal models at scale (2010, methodology): “Doubly robust estimation is used in applications ranging from medicine [2] to criminal justice [15].”
• Large-scale inference (2010, background): “Ridgeway and MacDonald (2009) discuss the police data, providing a much more extensive analysis than the one here.”
• An Empirical Analysis of Racial Differences in Police Use of Force (2019, unknown): “For instance, 0.26 percent of interactions between police and civilians involve tion in proactive policing, and in Ridgeway and MacDonald (2009) to develop a statistical method to identify problem officers.”
• A Few Bad Apples? Racial Bias in Policing (2017, methodology): “To date, Ridgeway and MacDonald (2009) is the only study that aims to identify discrimination of individual criminal justice agents.”
• A multidisciplinary survey on discrimination analysis (2013, unknown): “Ridgeway and MacDonald (2009) propose an ‘internal benchmark’ method consisting of comparing the distribution of stops of an officer with the distribution of all the other officers.”
• The Effects of DNA Databases on Crime (2017, background): “States continue to add new groups of individuals, particularly misdemeanor convicts and felony arrestees.9 6 Racial bias within the criminal justice system is a primary concern (Ridgeway and MacDonald 2009).”