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Detecting racial discrimination using observational data is challenging because of the presence of unobservables that may be correlated with race. Using data made public in the SFFA v. Harvard case, we estimate discrimination in a setting where this concern is mitigated. Namely, we show that...
Persistent link: https://www.econbiz.de/10012835875
Detecting racial discrimination using observational data is challenging because of the presence of unobservables that may be correlated with race. Using data made public in the SFFA v. Harvard case, we estimate discrimination in a setting where this concern is mitigated. Namely, we show that...
Persistent link: https://www.econbiz.de/10012203195
Detecting racial discrimination using observational data is challenging because of the presence of unobservables that may be correlated with race. Using data made public in the SFFA v. Harvard case, we estimate discrimination in a setting where this concern is mitigated. Namely, we show that...
Persistent link: https://www.econbiz.de/10012482025
Persistent link: https://www.econbiz.de/10012231928
Persistent link: https://www.econbiz.de/10013348871
Detecting racial discrimination using observational data is challenging because of the presence of unobservables that may be correlated with race. Using data made public in the SFFA v. Harvard case, we estimate discrimination in a setting where this concern is mitigated. Namely, we show that...
Persistent link: https://www.econbiz.de/10013310818
Persistent link: https://www.econbiz.de/10001778822
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