Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Columbia University ...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
https://dx.doi.org/10.7916/d8r...
Other literature type . 2008
Data sources: Datacite
versions View all 1 versions
addClaim

Skills, Schools, and Credit Constraints

Authors: Goodman, Joshua;

Skills, Schools, and Credit Constraints

Abstract

Low college enrollment rates among low income students may stem from credit constraints, low academic skill, low quality schools, or some combination of these. Recent Massachusetts data allow the first use of school district fixed effects in the analysis of credit constraints, leading to four primary findings. First, Massachusetts' low income students have lower intended college enrollment rates than higher income students but also have dramatically lower skills and attend lower quality school districts. Second, inclusion of skill controls greatly reduces but does not eliminate the intended enrollment gap, with low income students seven percentage points less likely to intend enrollment than similarly skilled higher income students. Third, in districts where higher income students are plausibly unconstrained, inclusion of school district fixed effects does little to reduce intended enrollment gaps, with low income students nine percentage points less likely to intend enrollment than similarly skilled higher income students from the same school district. Fourth, low income students in the middle and upper parts of the skill distribution appear the most constrained, particularly with respect to four-year public colleges. State governments could use the methods employed here to identify credit constrained student populations in order to target financial aid more efficiently.

Country
United States
Keywords

330, Economics

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Related to Research communities