@UniBonn Economics MRes | Recovering sports data user...
https://sites.google.com/view/kcolombe/
Context influences DEI efforts and policy: before prescribing solutions, it’s important to measure baseline bias, as well-intended pressure can temporarily overshoot in already inclusive environments.
Context influences DEI efforts and policy: before prescribing solutions, it’s important to measure baseline bias, as well-intended pressure can temporarily overshoot in already inclusive environments.
The clearest evidence appears with a continuous tone 𝐨𝐮𝐭-𝐠𝐫𝐨𝐮𝐩 𝐟𝐚𝐯𝐨𝐫𝐢𝐭𝐢𝐬𝐦 difference. The findings align with out-group favoritism rather than in-group discrimination.
The clearest evidence appears with a continuous tone 𝐨𝐮𝐭-𝐠𝐫𝐨𝐮𝐩 𝐟𝐚𝐯𝐨𝐫𝐢𝐭𝐢𝐬𝐦 difference. The findings align with out-group favoritism rather than in-group discrimination.
Baseline: As expected, 𝐧𝐨 𝐬𝐲𝐬𝐭𝐞𝐦𝐚𝐭𝐢𝐜 racial bias exists 𝐛𝐞𝐟𝐨𝐫𝐞 heightened awareness.
After attention: 𝐨𝐯𝐞𝐫𝐜𝐨𝐫𝐫𝐞𝐜𝐭𝐢𝐨𝐧, where players receive 𝐟𝐞𝐰𝐞𝐫 fouls from crews of more “opposite-race/dissimilar-tone” officials.
Baseline: As expected, 𝐧𝐨 𝐬𝐲𝐬𝐭𝐞𝐦𝐚𝐭𝐢𝐜 racial bias exists 𝐛𝐞𝐟𝐨𝐫𝐞 heightened awareness.
After attention: 𝐨𝐯𝐞𝐫𝐜𝐨𝐫𝐫𝐞𝐜𝐭𝐢𝐨𝐧, where players receive 𝐟𝐞𝐰𝐞𝐫 fouls from crews of more “opposite-race/dissimilar-tone” officials.
Using 11 seasons of data, quasi-random referee assignments, and Machine Learning to predict race and skin tone, we explore how increased public attention influences officiating.
Using 11 seasons of data, quasi-random referee assignments, and Machine Learning to predict race and skin tone, we explore how increased public attention influences officiating.