The Diversity in College Admission: A Study of Asian American Applicants in Harvard Judicial Case

Abstract: This study investigates the presence and extent of discrimination against Asian American applicants in the college admissions process, particularly in the context of the Harvard University legal case. Using machine learning techniques, we develop an analytical framework to examine publicly available data from judicial documents. Our approach involves creating a two-stage model where we first estimate an auxiliary model to capture the endogenous variablestudent performanceand then incorporate these predictions into the primary admissions outcome model. By generating counterfactual scenarios where applicants' racial backgrounds are hypothetically altered, we aim to identify the causal impact of being Asian American on admission outcomes. Our findings indicate that while there is no significant bias against Asian American applicants in academic and extracurricular ratings, strong disparities exist in non-academic ratings, such as personal evaluations. If Asian American applicants received personal ratings comparable to White applicants, their admission rates could increase by approximately 27%, particularly for those with higher academic performance. These results suggest potential biases in the admissions process, warranting further investigation.

Authors

Publication Details

Journal
Communications in Humanities Research
Published
2024-11-15
DOI
https://doi.org/10.54254/2753-7064/42/20242487
Primary Topic
Racial and Ethnic Identity Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Diversity in College Admission: A Study of Asian American Applicants in Harvard Judicial Case

Jin Sun
Communications in Humanities Research
Racial and Ethnic Identity Research
article

The Diversity in College Admission: A Study of Asian American Applicants in Harvard Judicial Case

Jin Sun
article en

Abstract

Abstract: This study investigates the presence and extent of discrimination against Asian American applicants in the college admissions process, particularly in the context of the Harvard University legal case. Using machine learning techniques, we develop an analytical framework to examine publicly available data from judicial documents. Our approach involves creating a two-stage model where we first estimate an auxiliary model to capture the endogenous variablestudent performanceand then incorporate these predictions into the primary admissions outcome model. By generating counterfactual scenarios where applicants' racial backgrounds are hypothetically altered, we aim to identify the causal impact of being Asian American on admission outcomes. Our findings indicate that while there is no significant bias against Asian American applicants in academic and extracurricular ratings, strong disparities exist in non-academic ratings, such as personal evaluations. If Asian American applicants received personal ratings comparable to White applicants, their admission rates could increase by approximately 27%, particularly for those with higher academic performance. These results suggest potential biases in the admissions process, warranting further investigation.

Communications in Humanities ResearchVol. 42(1)
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 67%
Racial and Ethnic Identity Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.