A stochastic dominance approach to the measurement of discrimination
نویسندگان
چکیده
Suppose two groups of workers separated on the basis of a variable that should be a priori non in ‡uential on wage, such as race or gender. Suppose two groups of workers separated on the basis of a variable that should be a priori non in ‡uential on wage, such as race or gender. The wage of these workers will depend upon many factors. Some of these factors may constitute objective explanations of the observed wage di¤erences. Suppose two groups of workers separated on the basis of a variable that should be a priori non in ‡uential on wage, such as race or gender. The wage of these workers will depend upon many factors. Some of these factors may constitute objective explanations of the observed wage di¤erences. After controlling for the in ‡uence of these factors such as productivity, some remaining di¤erences cannot be interpreted as pure randomness. Suppose two groups of workers separated on the basis of a variable that should be a priori non in ‡uential on wage, such as race or gender. The wage of these workers will depend upon many factors. Some of these factors may constitute objective explanations of the observed wage di¤erences. After controlling for the in ‡uence of these factors such as productivity, some remaining di¤erences cannot be interpreted as pure randomness. How to assess discrimination? Jenkins (1994) introduced partial orders based on GL curves computed for reference and comparison distributions Le Breton et al. () discrimination curves June 2011 2 / 17 Motivation: (II) Equality of opportunity Suppose a population divided in several groups (Types) on the basis of variables (circumstances) that should not a priori a¤ect outcomes. Suppose a population divided in several groups (Types) on the basis of variables (circumstances) that should not a priori a¤ect outcomes.
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عنوان ژورنال:
- J. Economic Theory
دوره 147 شماره
صفحات -
تاریخ انتشار 2012