Manipulation of the Running Variable in the Regression Discontinuity Design: A Density Test
By J. McCrary. 2007
2,398 citations recorded by the source corpus.
Subfields: Political Science and International Relations
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Political Science and International Relations
- M. D. Cattaneo
- R. Titiunik
- T. Nannicini
- Luke Keele
- John P. Robinson
- C. Jackson
- Brigham R. Frandsen
- T. Fujiwara
Citations in the corpus
- Publicity requirements in public procurement: Evidence from a regression discontinuity design ☆ (2012, methodology): “Coefficient (and standard error in parenthesis) of the McCrary (2008) parametric t-test for the presence of sorting in the starting value (the running variable of the RDD estimator) around the y = 500,000 discontinuity.”
- Taxation and Corporate Risk-Taking (2017, background): “Column (1) of Table 4 presents the b 3 coefficient from estimating Equation (7) for the treated sample of firms with a statutory decrease in the loss offset period (Germany and The Netherlands); Column (2) includes the coefficients for increases in the loss offset period (Denmark, France, Norway, and S”
- Do Students Benefit from Attending Better Schools? Evidence from Rule‐based Student Assignments in Trinidad and Tobago* (2010, positive): “Following McCrary (2008), I test for discontinuity in the density of the total score at the simulated cut-off while controlling for the relative score, and the quadratic, cubic and quartic of the relative score.”
- Information Asymmetries in Consumer Credit Markets: Evidence from Payday Lending (2013, positive): “Our approach is similar to McCrary (2008), who suggests a simple extension of the local linear density estimator to test the unconditional density of observations on either side of a regression discontinuity.”
- Evaluating Criteria for English Learner Reclassification: A Causal-Effects Approach Using a Binding-Score Regression Discontinuity Design with Instrumental Variables (2011, methodology): “Tocheck for manipulation, I used McCrary's (2008) suggestion of exploring differences in sample density”
- Modern Regression Discontinuity Analysis (2012, background): “McCrary (2008) presented a simple test of the validity of a regression discontinuity design that assesses whether ratings were manipulated by examining the pattern of density of observations.”