Sex Discrimination in Labor Markets: The Role of Statistical Evidence: Reply

By Peter Kuhn. 1990

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Citations in the corpus

Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making (2019, background): “In the literature, there have been a lot of reports of algorithms resulting in unfair treatment, e.g., in racial proﬁling and redlining (Squires 2003), mortgage discrimination (LaCour-Little 1999), personnel selection (Stoll, Raphael, and Holzer 2004), and employment (Kuhn 1990).”
Approval of equal rights and gender differences in well-being (2010, unknown): “Specifically, several authors find that those women reporting the most gender discrimination face, in fact, the least statistical discrimination (Kuhn 1987; Barbezat and Hughes 1990; Antecol and Kuhn 2000).”
Integrating induction and deduction for finding evidence of discrimination (2009, background): “From a research point of view, the literature in economics and social sciences has given evidence of unfair treatment in racial profiling and redlining [5, 23], mortgage lending [16], consumer market [21], personnel selection [11], and wages [15].”
Discrimination-aware data mining (2008, background): “The literature has given evidence of unfair treatment in racial profiling and redlining [14], mortgage discrimination [9], personnel selection discrimination [6, 7], and wages discrimination [8].”
How wide is the gap? An investigation of gender wage differences using quantile regression (2001, background): “3 See Neumark (1988), Wright and Ermisch (1991), Callan and Wren (1994), Harkness (1996) and Blau and Kahn (1992, 1997) among others.”
Data mining for discrimination discovery (2010, background): “2004; Kaye and Aickin 1992], and wages discrimination [Kuhn 1987].”