| 000 | 01198nam a22001577a 4500 | ||
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| 999 |
_c518030 _d518030 |
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| 008 | 210810b ||||| |||| 00| 0 eng d | ||
| 100 |
_aFershtman, Daniel and Pavan, Alessandro _928421 |
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| 245 | _a"Soft" affirmative action and minority recruitment | ||
| 260 | _aThe American Economic Review: Insights | ||
| 300 | _a3(1), Mar, 2021: p.1-18 | ||
| 520 | _aWe study search, evaluation, and selection of candidates of unknown quality for a position. We examine the effects of "soft" affirmative action policies increasing the relative percentage of minority candidates in the candidate pool. We show that, while meant to encourage minority hiring, such policies may backfire if the evaluation of minority candidates is noisier than that of nonminorities. This may occur even if minorities are at least as qualified and as valuable as nonminorities. The results provide a possible explanation for why certain soft affirmative action policies have proved counterproductive, even in the absence of (implicit) bias. – Reproduced | ||
| 650 |
_aMinority candidates, Minorities, Minority policy _928422 |
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| 773 | _aThe American Economic Review: Insights | ||
| 906 | _aMINORITIES | ||
| 942 | _cAR | ||