Asian American Discrimination in Harvard Admissions

74 Pages Posted: 28 Apr 2020 Last revised: 18 Jun 2023

See all articles by Peter Arcidiacono

Peter Arcidiacono

Duke University - Department of Economics; National Bureau of Economic Research (NBER)

Josh Kinsler

University of Georgia

Tyler Ransom

University of Oklahoma; Institute for the Study of Labor (IZA)

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Date Written: April 2020


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.

Suggested Citation

Arcidiacono, Peter and Kinsler, Josh and Ransom, Tyler, Asian American Discrimination in Harvard Admissions (April 2020). NBER Working Paper No. w27068, Available at SSRN:

Peter Arcidiacono (Contact Author)

Duke University - Department of Economics ( email )

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National Bureau of Economic Research (NBER) ( email )

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Josh Kinsler

University of Georgia ( email )

Tyler Ransom

University of Oklahoma ( email )

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Institute for the Study of Labor (IZA) ( email )

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