Regression Discontinuity Designs

By R. C. Hill. 2017

97 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/aeea32092548c7775beefee6aafcb598a943837e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Including Covariates in the Regression Discontinuity Design (2018, background): “Imbens and Lemieux (2008), van der Klaauw (2008), and Lee and Lemieux (2010) surveyed the applied and theoretical literature on the RDD. Imbens and Kalyanaraman (2012) discussed optimal bandwidth selection in terms of squared error loss, while Calonico, Cattaneo, and Titiunik (2014) proposed…”
Optimal Data-Driven Regression Discontinuity Plots (2015, methodology): “For recent reviews on the RD design, including references to a large number of empirical applications employing RD designs, see, for example, Cook (2008), Imbens and Lemieux (2008), and Lee and Lemieux (2010).”
Wanna Get Away? Regression Discontinuity Estimation of Exam School Effects Away From the Cutoff (2015, methodology): “We complement formal CIA testing with a graphical tool motivated by an observation in Lee and Lemieux (2010): in a randomized trial using a uniformly distributed random number to determine treatment assignment, the randomizer becomes the running variable for an RD design.”
Simple Local Polynomial Density Estimators (2018, methodology): “In a seminal paper, McCrary (2008) proposed the idea of manipulation testing via discontinuity in density testing for regression discontinuity (RD) designs, and developed an implementation thereof using the density estimator of Cheng, Fan, and Marron (1997), which requires prebinning of the data and”
Weak Identification in Fuzzy Regression Discontinuity Designs (2016, background): “The asymptotic properties of the local linear estimators and β̂n are discussed in Hahn, Todd, and Van der Klaauw (1999) and Imbens and Lemieux (2008).”
One or many Cohesion Policies of the European Union? On the differential economic impacts of Cohesion Policy across member states (2019, methodology): “…and latitude coordinates of the NUTS-3 centroids) is the spatial forcing variable, which takes a polynomial specification (with a polynomial degree of up to order 3 allowed to vary differently on the two sides of the cut-off) – this is also interacted with the treatment dummy (Lee & Lemieux, 2010).”