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Reply to "New paper on determinants of college admissions…"
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[quote=Anonymous][quote=Anonymous][quote=Anonymous][quote]We show that under the identification assumption that different college admission committees’ assessments of a candidate’s underlying merit (i.e., the component that predicts long-term outcomes) are positively correlated with each other, comparisons of students who are admitted vs. rejected from the waitlist can be used to identify the causal effect of admission for marginal applicants. Using this design, we find that being admitted from the waitlist to an Ivy-Plus college increases students’ chances of achieving early career upper-tail success on both monetary and non-monetary dimensions. The causal effects of admission to an Ivy-Plus college are much larger for students with weaker fallback options– e.g., whose colleges in their home state channel fewer students to the top 1% after college. Exploiting this heterogeneity in treatment effects, we estimate that the marginal student who is admitted to and attends an Ivy-Plus college instead of the average flagship public is about 50% more likely to reach the top 1% of the income distribution at age 33, nearly twice as likely to attend a highly-ranked graduate school, and 2.5 times as likely to work at a prestigious firm.[/quote] Seems like the assumptions about admission from the waitlist are not warranted. Most waitlists are need-aware. Generally, waitlist acceptance is related to institutional priorities. I think they are reading way too much into that. --my kid was admitted to an Ivy-Plus off the waitlist this year. full pay, high stats. Was not admitted off the waitlist at other, lower-ranked schools. Not being admitted off the waitlist at the other schools does not imply anything about the merit of his app. They are trying to do too much in this "study". [quote]College-Specific Analysis Sample. When studying admissions and matriculation at specific colleges Section 3.2), admissions decisions (Section 3.3), and the causal effects of colleges on outcomes (Section 4), we focus on the subset of Ivy-Plus and flagship public colleges for which we have internal application and admissions data. In these analyses, we define the analysis sample as all permanent residents or citizens in the college-specific dataset who submitted a first-year undergraduate application to the college over the years for which we have data who (1) can be linked to the tax data based on their SSNs or ITINs and (2) can be linked to parents in the tax data.[/quote] Full pay students often do not include SSNs in the application because they are not applying for need-based aid. My kids did not.[/quote] The data come from 1098-T forms that colleges submit for all tuition paying students. For non-tuition paying students, it’s complemented by Pell Grant data. Read before you criticize. [/quote] DP. Curious. 1098-T forms are only for enrolled students. Students who applied, but did not attend, would not have their income included. How does having a 1098-T form tell the researchers what the student's income level is? What are the mechanics by which personal income data is available to researchers, and should it be, both for those who receive need-based aid and for students who didn't submit financial aid forms? The university does not have a family's financial information for those who didn't apply for aid.[/quote]
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