Testing for Manipulation in the Regression Discontinuity Design When the Running Variable Is Discrete

By Brigham R. Frandsen. 2016

154 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/309ad1657d355a2cc0d6a5bbda107dc3128d76f5

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Citations in the corpus

Labor Unions, Political Representation, and Economic Inequality (2017, background): “Public sector unions now make up large chunks of the labor movement in several countries, most notably the United States (Freeman 1988, Garrett & Way 1999).”
A Practical Introduction to Regression Discontinuity Designs (2019, methodology): “We provide complete replication codes in both R and Stata for the entire empirical analysis discussed throughout the Element and, in addition, we provide replication codes for a second empirical illustration using the data of Cattaneo, Frandsen, and Titiunik (2015). This second empirical example is ”
Inference in Regression Discontinuity Designs with a Discrete Running Variable (2016, methodology): “With discrete 13The related problem of honest testing for a jump in the density of the running variable at the threshold has been considered in Frandsen (2016), who uses a bound on the second derivative of the density that yields a class of densities similar toMH(K).”
Manipulation Testing Based on Density Discontinuity (2018, methodology): “First, McCrary (2008) introduced a test based on the nonparametric local-polynomial density estimator of Cheng, Jianqing, and Marron (1997), which requires prebinning of the data and hence introduces additional tuning parameters. Second, Otsu, Xu, and Matsushita (2014) proposed an empirical likeliho”
Regression Discontinuity Designs (2021, unknown): “The implementation of these falsification analyses differs depending on whether a continuity-based or a local randomization approach is used; see, respectively, Section 5 in Cattaneo, Idrobo and Titiunik (2020) and Section 2.3 in Cattaneo, Idrobo and Titiunik (2024).”
Simple Local Polynomial Density Estimators (2018, background): “See also Frandsen (2017) for a complementary manipulation test with discrete running variable in RD designs. Testing for manipulation is quite useful when units are assigned to two (or more) distinct groups using a hard-thresholding rule, as it provides an intuitive and simple method to check empiri”
Examining Prison Effects on Recidivism: A Regression Discontinuity Approach (2017, unknown): “Frandsen (2014) provides a modiﬁcation to McCrary’s test for discrete rating variables like total sentence points, which is measured in .1 increments.”
Testing continuity of a density via g-order statistics in the regression discontinuity design (2018, background): “stronger sufficient condition proposed by Lee (2008, Condition 2b). The first check involves testing whether the distribution of pre-determined characteristics (conditional on the running variable) is continuous at the cut-off. See Shen and Zhang (2016) and Canay and Kamat (2018) for a recent treatm”