Modern Regression Discontinuity Analysis

By Howard S. Bloom. 2012

118 citations recorded by the source corpus.

Subfields: Education, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f0922dcbe7ce548ad78cc4b9b8c8f1e570103c4e

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Citations in the corpus

Examining Prison Effects on Recidivism: A Regression Discontinuity Approach (2017, unknown): “Modern RD analysis (see e.g. Bloom, 2012; Dunning, 2012; Murnane & Willett, 2011) conceptualizes the RD design as equating cases near the cut score.”
The Effects of Test Translation on Young English Learners’ Mathematics Performance (2010, methodology): “Regression discontinuity is viewed as the closest approximation to an experimental design that can be obtained from nonexperimental data (Bloom, 2010; Cook, Shadish, & Wong, 2008; Lee & Lemieux, 2009; Murnane & Willett, 2010; Robinson & Reardon, 2009; Schneider, Carnoy, Kilpatrick, Schmidt, & Shavel”
Regression Discontinuity Designs With Multiple Rating-Score Variables (2012, background): “R,X|T ); see Bloom, 2009; Schochet, 2009, for 98 S. F. Reardon and J. P. Robinson recent detailed discussions): se(δ̂RD) = √√√√ ( σ̂ 2Y |T )( 1 − R2Y.”
A Practical Guide to Regression Discontinuity (2012, background): “Broadly speaking, there are two types of strategies for correctly specifying the functional form in a single-rating RD case (Bloom, 2012).”
Impacts of a prekindergarten program on children's mathematics, language, literacy, executive function, and emotional skills. (2013, methodology): “A standard application of the RD methodology, provided all assumptions are met, provides an unbiased estimate of the average effect of assignment to the treatment condition (vs. control) for participants immediately on either side of the cutoff (Bloom, 2012; Murnane & Willett, 2010).”