A Quasi-Experimental Estimate of the Impact of Financial Aid on College Going

Working Paper: NBER ID: w9703

Authors: Thomas J. Kane

Abstract: Although state and federal governments heavily subsidize the price of college, estimates of the impact of these subsidies on college enrollment have not been well-identified. I use a regression discontinuity design to study the impact of the CalGrant program in California on college going. Eligibility requires students to meet minimum thresholds on three characteristics: income, assets and high school Grade Point Average. Because there are several dimensions of eligibility, the analysis allows for specification tests, estimating any discontinuities along a given dimension of eligibility, dependent upon whether one satisfied the other two dimensions of eligibility. The paper uses a novel data collection strategy to measure subsequent college enrollment for 150,000 financial aid applicants in 1998 and 1999. The results suggest large impacts (3 to 4 percentage points) of grant eligibility on college enrollment among financial aid applicants, with larger impacts on the choice of private four-year colleges in California.

Keywords: No keywords provided

JEL Codes: I2


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Cal Grant eligibility (I28)college enrollment (I23)
GPA threshold (C00)college enrollment (I23)
financial need thresholds (I22)college enrollment (I23)
GPA threshold (C00)Cal Grant eligibility (I28)
students just above GPA threshold (D29)college enrollment (I23)
students just below GPA threshold (D29)college enrollment (I23)

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