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来源类型Working Paper
规范类型报告
DOI10.3386/w27802
来源IDWorking Paper 27802
On the Use of Outcome Tests for Detecting Bias in Decision Making
Ivan A. Canay; Magne Mogstad; Jack Mountjoy
发表日期2020-09-14
出版年2020
语种英语
摘要The decisions of judges, lenders, journal editors, and other gatekeepers often lead to significant disparities across affected groups. An important question is whether, and to what extent, these group-level disparities are driven by relevant differences in underlying individual characteristics, or by biased decision makers. Becker (1957, 1993) proposed an outcome test of bias based on differences in post-decision outcomes across groups, inspiring a large and growing empirical literature. We carefully examine what researchers can learn about bias in decision making from such outcome tests. We show that models of decision making underpinning outcome tests can be usefully recast as Roy models, since potential outcomes enter directly into the decision maker’s choice equation. Different members of the Roy model family, however, are distinguished by the tightness of the link between potential outcomes and decisions, and we show that these distinctions have important implications for defining bias, deriving logically valid outcome tests of such bias, and identifying the marginal outcomes that the test requires.
主题Econometrics ; Estimation Methods ; Labor Economics ; Demography and Aging ; Labor Discrimination ; Other ; Law and Economics
URLhttps://www.nber.org/papers/w27802
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/585474
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Ivan A. Canay,Magne Mogstad,Jack Mountjoy. On the Use of Outcome Tests for Detecting Bias in Decision Making. 2020.
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