Minimum distance estimator for sharp regression discontinuity with multiple running variables

Choi, Jin-young; Lee, Myoung-Jae

doi:10.1016/j.econlet.2017.10.002

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…Because Zell eligibility is based on being above more than one cutoff, we use multi-dimensional RD methods. Our main approach, similar to that of Choi and Lee (2018), employs a two-dimensional RD, conditional on being above the third cutoff. It is quite flexible and yields local average effects over the entire estimation region.…”

Section: <A> 4 Empirical Strategymentioning

confidence: 99%

“…We first use a flexible model that estimates one local average treatment effect using both cutoffs, as in Choi and Lee (2018). The general form of our estimating equation is:…”

Section: <B> a Two-dimensional Rd Frameworkmentioning

confidence: 99%

“…We use the rdbwselect command (with the mserd bandwidth selection procedure-seeCalonico, Cattaneo, and Titiunik, 2014) from the rdrobust package in Stata(Calonico, et al, 2017). We do not include covariates in selecting bandwidths.24 This figure and framing are taken fromChoi and Lee (2018).…”

mentioning

confidence: 99%

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The Effects of Financial Aid Loss on Persistence and Graduation: A Multi-Dimensional Regression Discontinuity Approach

Jones

Kreisman

Rubenstein

et al. 2022

Education Finance and Policy

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For years Georgia's HOPE Scholarship program provided full tuition scholarships to high achieving students. State budgetary shortfalls reduced its generosity in 2011. Under the new rules, only students meeting more rigorous merit-based criteria would retain the original scholarship covering full tuition, now called Zell Miller, with other students seeing aid reductions of approximately 15 percent. We exploit the fact that two of the criteria were high school GPA and SAT/ACT score, which students could not manipulate when the change took place. We compare already-enrolled students just above and below these cutoffs, making use of advances in multi-dimensional regression discontinuity, to estimate effects of partial aid loss. We show that, after the changes, aid flowed disproportionately to wealthier students, and find no evidence that the financial aid reduction affected persistence or graduation for these students. The results suggest that high-achieving students, particularly those already in college, may be less price sensitive than their peers.

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Section: <A> 4 Empirical Strategymentioning

confidence: 99%

“…We first use a flexible model that estimates one local average treatment effect using both cutoffs, as in Choi and Lee (2018). The general form of our estimating equation is:…”

Section: <B> a Two-dimensional Rd Frameworkmentioning

confidence: 99%