Asian American discrimination in Harvard admissions / Peter Arcidiacono (Duke University, NBER and IZA), Josh Kinsler (University of Georgia), Tyler Ransom (University of Oklahoma and IZA) ; IZA Institute of Labor Economics
VerfasserArcidiacono, Peter ; Kinsler, Josh ; Ransom, Tyler
KörperschaftForschungsinstitut zur Zukunft der Arbeit
ErschienenBonn, Germany : IZA Institute of Labor Economics, April 2020
Elektronische Ressource
Umfang1 Online-Ressource (73 Seiten) : Diagramme
SerieDiscussion paper ; no. 13172
 Das Dokument ist öffentlich zugänglich im Rahmen des deutschen Urheberrechts.
Asian American discrimination in Harvard admissions [0.49 mb]
Verfügbarkeit In meiner Bibliothek

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 there is a substantial penalty against Asian Americans in admissions with limited scope for omitted variables to overturn the result. This is because (i) Asian Americans are substantially stronger than whites on the observables associated with admissions and (ii) the richness of the data yields a model that predicts admissions extremely well. Our preferred model shows that Asian Americans would be admitted at a rate 19% higher absent this penalty. Controlling for one of the primary channels through which Asian American applicants are discriminated against - the personal rating - cuts the Asian American penalty by less than half, still leaving a substantial penalty.