| 000 | 01924nam a22001577a 4500 | ||
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| 999 |
_c520411 _d520411 |
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| 008 | 220913b ||||| |||| 00| 0 eng d | ||
| 100 |
_aStroube, Bryan K. _934028 |
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| 245 | _aEconomic consequences and the motive to discriminate | ||
| 260 | _aAdministrative Science Quarterly | ||
| 300 | _a67(1), Mar, 2022: p.207-236 | ||
| 520 | _aPast research indicates that increasing the economic consequences of evaluations should theoretically discourage discrimination by making it more costly. I theorize that such consequences may also encourage discrimination in settings in which evaluators may be motivated by performance expectations, e.g., stereotypes. I explore this theory using data from an online lending platform whose loan guarantee policy reduced the potential economic consequences of using borrowers’ demographics during lending decisions. I find evidence that with the policy in place, lenders evaluated female borrowers less favorably than male borrowers. This finding is consistent with the theory that the policy discouraged performance-motivated discrimination (that driven by beliefs about performance abilities) and simultaneously encouraged consumption-motivated discrimination (that driven by a like or dislike of others because of their demographic traits). Because I theorize about underlying motives for discrimination, the insights developed here should apply to a wide range of types of discrimination that vary according to these motives, including classic taste-based discrimination, homophily-driven discrimination, statistical discrimination, and status-based discrimination. Economic consequences may therefore represent an important dynamic link between different types of discrimination.- Reproduced | ||
| 650 |
_aDiscrimination, Motives, Online lending, China, Audience evaluations. _932888 |
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| 773 | _aAdministrative Science Quarterly | ||
| 906 | _aDISCRIMINATION | ||
| 942 | _cAR | ||