The Economics of Discrimination
By Caroline Tremblay. 2009
3,491 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Indrė Žliobaitė
- Lu Zhang
- Sara Hajian
- Sam Corbett-Davies
- Muhammad Bilal Zafar
- Andrea Romei
- Faisal Kamiran
- Salvatore Ruggieri
Citations in the corpus
- Algorithmic Decision Making and the Cost of Fairness (2017, methodology): “In that work, taste-based discrimination [6] is equated with applying decision thresholds that differ by race.”
- A Short-term Intervention for Long-term Fairness in the Labor Market (2017, background): “and genetic accounts of group differences have been largely discredited [12], modern theories of labor market discrimination have updated the classical works— Becker’s “taste-based” discrimination [13] and Phelps’ model of”
- The Problem of Infra-marginality in Outcome Tests for Discrimination (2016, background): “Addressing this shortcoming of benchmarking, Becker (1993, 1957) proposed the outcome test, which is based not on the rate at which decisions are made, but on the success rate of those decisions.”
- A multidisciplinary survey on discrimination analysis (2013, background): “Taste-based discrimination, originally proposed by the Nobel prize winner Becker (1971), has no rational or economic basis, but only a personal prejudice against protected groups.”
- Estimating a Dynamic Adverse-Selection Model: Labour-Force Experience and the Changing Gender Earnings Gap 1968–1997 (2008, background): “2Many papers document the changes in the gender wage gap, occupational composition, and patterns of participation, including Blau and Kahn (1997), Lewis (1996), and Eckstein and Nagypal (2005), among others. taste-based discrimination, formulated by Gary Becker (1971); the second type results from i”
- Inaccurate Statistical Discrimination: An Identification Problem (2019, unknown): “The first type, taste-based discrimination (Becker 1957), posits that an individual or firm has animus towards members of a particular group, and therefore may choose to discriminate against them because he receives disutility from providing services to or interacting with members of the group.”
- The Measure and Mismeasure of Fairness: A Critical Review of Fair Machine Learning (2018, background): “notes that taste-based discrimination is independent of intent, and covers situations in which a decision maker acts “not because he is prejudiced against them but because he is ignorant of their true efficiency” (Becker, 1957).”
- Identification of Social Interactions (2011, unknown): “This was first recognized in Becker’s (1973) analysis of efficiency in the marriage market, in which groups are of size 2 and naturally extends to groups of any size.”
- Castes and Labor Mobility (2012, unknown): “As argued by Becker (1957), increasing competition raises the losses to businesses from pursuing discriminatory labor market practises including wage discrimination.”
- Theories of Statistical Discrimination and Affirmative Action: A Survey (2010, unknown): “In contrast to taste-based theories of discrimination (see Becker 1957), statistical discrimination theories derive group inequality without assuming racial or gender animus, or preference bias, against members of a targeted group.”