Predicting postsecondary attendance by family income in the United States using multilevel regression with poststratification

Benjamin T. Skinner and William R. Doyle

Economics of Education Review, 2024, vol. 99, issue C

Abstract: Despite billions of dollars spent yearly to fund higher education for low-income youth, no government agency tracks how many low-income young people attend college by state. Whereas proxy measures like Pell grant receipt address the number of already enrolled low-income students, direct estimates from U.S. Census surveys likely overestimate low-income youth enrollment due to their design. Using Bayesian multilevel regression with poststratification (MRP) to estimate postsecondary attendance rates by family income in each of the 50 states and the District of Columbia, we find substantial variation in attendance rates between income groups across the country.

Keywords: College access; Low income; Multilevel regression with poststratification; MRP (search for similar items in EconPapers)
JEL-codes: C11 C18 I22 I23 I24 I28 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecoedu:v:99:y:2024:i:c:s0272775724000025

DOI: 10.1016/j.econedurev.2024.102508

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