Measuring Racial Discrimination

2016

291 citations recorded by the source corpus.

Subfields: Law, Political Science and International Relations

Citations in the corpus

• Conscientious Classification: A Data Scientist's Guide to Discrimination-Aware Classification (2017, neutral): “We will start by reviewing the social and legal concepts of discrimination as presented by Dabady and colleagues, 5 which contains two examples of discrimination: (1) Differential treatment on the basis of membership in a protected class that disadvantages members of that class (we will call this…”
• Fairness in Decision-Making - The Causal Explanation Formula (2018, background): “Another common fairness criterion is the total effect (Council 2004), which measures the difference of outcome Y while physically controlling the values of X , namely, TE x 0 ,x 1 ( y ) = P ( y x 1 ) − P ( y x 0 ) .”
• Exposing the probabilistic causal structure of discrimination (2015, background): “This limitation highlights the need to assess discrimination as a causal inference problem [6] from a database of past decisions, where causality can be inferred probabilistically.”
• Measuring discrimination in algorithmic decision making (2017, background): “A classical handbook on measuring racial discrimination [8] focuses on surveying and collecting evidence for discrimination discovery.”
• Impartial Predictive Modeling: Ensuring Fairness in Arbitrary Models (2016, background): “The term “statistical discrimination” is commonly used in social science to refer to these cases where sensitive covariates are used to estimate unobserved but possibly economically relevant characteristics (Blank et al., 2004).”
• Race as a Bundle of Sticks: Designs that Estimate Effects of Seemingly Immutable Characteristics (2016, background): “Additionally, some contemporary genetic research supports the idea that people with similar geographic ancestry also share clusters of common genes that correspond roughly to modern racial categories (Blank, Dabady, and Citro 2004; Kitcher 2007).”
• Ethnic discrimination in hiring decisions: a meta-analysis of correspondence tests 1990–2015 (2016, background): “…treatment on the basis of race that disadvantages a racial group and treatment on the basis of inadequately justified factors other than race that disadvantages a racial group (differential effect)’ (Blank, Dabady, and Citro 2004, 39, italics in original) thus covering groups such as immigrants.”
• Racism as a Determinant of Health: A Systematic Review and Meta-Analysis (2015, background): “Although required to estimate variations in exposure over time [432], explicit time frames were not always included in exposure instruments.”
• Whitened Résumés (2016, background): “By focusing on the demand side of the labor market, this literature does ‘‘not reveal the extent to which [minority] individuals change their behavior to avoid experiencing discrimination’’ (Blank, Dabady, and Citro, 2004: 112; see Pager and Pedulla, 2015).”