Robust Data-Driven Inference in the Regression-Discontinuity Design

By Sebastian Calonico, M. D. Cattaneo, R. Titiunik. 2014

660 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

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Citations in the corpus

Power calculations for regression-discontinuity designs (2019, methodology): “See Calonico, Cattaneo, and Titiunik (2014a, 2015b) and Calonico et al. (2017) for an introduction to the commands rdrobust, rdbwselect, and rdplot for graphical presentation, estimation, and inference in RD designs using nonparametric local polynomial techniques.”
A Practical Introduction to Regression Discontinuity Designs (2019, methodology): “MSE-optimal bandwidth selection for the local polynomial RD point estimator is developed in Imbens and Kalyanaraman (2012), Calonico, Cattaneo, and Titiunik (2014b), Bartalotti and Brummet (2017), Calonico, Cattaneo, Farrell, and Titiunik (2019), and Arai and Ichimura (2018).”
Regression Discontinuity Design with Continuous Measurement Error in the Running Variable (2017, positive): “The second one, denoted CCT hereafter, is a bias-corrected estimator proposed by Calonico et al. (2014b).”
Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate (2015, neutral): “[31, 32].”
The Incumbency Curse: Weak Parties, Term Limits, and Unfulfilled Accountability (2017, background): “See Calonico, Cattaneo, and Titiunik (2014a) for details on the STATA implementation, and Calonico, Cattaneo, and Titiunik (2015b) for details on the R implementation.”
Interpreting Regression Discontinuity Designs with Multiple Cutoffs (2016, methodology): “Confidence intervals for each parameters t̂P or (c), c ∈ C, can be constructed using the asymptotically valid procedures developed by Calonico et al. 2014b), which have better finite-sample properties and faster vanishing coverage error rates.”
Geographic Boundaries as Regression Discontinuities (2015, methodology): “See Calonico, Cattaneo, and Titiunik (2014a) for details on the STATA implementation, and Calonico, Cattaneo, and Titiunik (2014c) for details on the R implementation. difficulties since there are well-known solutions such as the Bonferroni correction or false discovery rates (Benjamini and…”
Rdrobust: Software for Regression-discontinuity Designs (2017, methodology): “When-ever When-ever possible, we retain the same syntax as in the previous version of this command (Calonico, Cattaneo, and Titiunik 2014a, 2015b).”
Enhancing Rigor in Quantitative Entrepreneurship Research (2019, neutral): “…2013), such as instrumental variable (IV) estimation (Bascle, 2008; Semadeni et al., 2014), regression discontinuity design (RDD) models (e.g., Calonico et al., 2014; 2019), difference- in- differences (DID) models (e.g., Lechner, 2011), and synthetic control methods (e.g., Abadie et al.,…”