Low-income students systematically 'undermatch' because they never hear of schools that would admit them
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High-achieving, low-income students disproportionately apply only to local, less-selective colleges even when their grades and test scores would gain them admission (and full financial aid) at far more selective institutions. A student with a 1400 SAT in rural Alabama may apply only to their local community college and a regional state school, never knowing that Rice, Vanderbilt, or Emory would admit them and cover 100% of costs. So what? They attend a school with a 30% graduation rate instead of one with a 90%+ graduation rate. So what? They're far more likely to drop out, accumulate debt without a degree, and earn $500,000-$1,000,000 less over their lifetime than if they'd attended the selective school. So what? This is the single largest mechanism by which the college system perpetuates class stratification — not by denying admission to poor students, but by ensuring they never apply in the first place. Why does this persist? Selective colleges market heavily in affluent zip codes (mailing viewbooks, hosting info sessions at feeder high schools) but have near-zero presence in low-income communities. School counselors in under-resourced schools lack the bandwidth and knowledge to identify undermatch candidates.
Evidence
Caroline Hoxby and Christopher Avery's landmark 2013 study 'The Missing One-Offs' found that the vast majority of high-achieving, low-income students never apply to a selective college, and most never even consider it. Hoxby's follow-up intervention (the Expanding College Opportunities project) showed that simply mailing high-achieving, low-income students information about selective colleges and fee waivers increased application rates by 40% and enrollment at selective schools by 25%. A 2016 Brookings study estimated that undermatching costs low-income students between $500K-$1M in lifetime earnings. Only 3% of students at the most selective 468 colleges come from the bottom income quartile (Chetty et al., 'Mobility Report Cards,' 2017).