rdplot: Data-Driven Regression Discontinuity Plots

Description

rdplot implements several data-driven Regression Discontinuity (RD) plots, using either evenly-spaced or quantile-spaced partitioning. Two type of RD plots are constructed: (i) RD plots with binned sample means tracing out the underlying regression function, and (ii) RD plots with binned sample means mimicking the underlying variability of the data. For technical and methodological details see Calonico, Cattaneo and Titiunik (2015a). Companion commands are: rdrobust for point estimation and inference procedures, and rdbwselect for data-driven bandwidth selection. A detailed introduction to this command is given in Calonico, Cattaneo and Titiunik (2015b) and Calonico, Cattaneo, Farrell and Titiunik (2016). A companion Stata package is described in Calonico, Cattaneo and Titiunik (2014). For more details, and related Stata and R packages useful for analysis of RD designs, visit https://sites.google.com/site/rdpackages/

Usage

rdplot(y, x, subset = NULL, c = 0, p = 4, nbins = NULL, binselect = "esmv",  scale = NULL,
          kernel = "uni", h = NULL, hide = FALSE, ci = NULL, shade = FALSE,
          par=NULL, title = NULL, x.label = NULL, y.label = NULL, 
          x.lim = NULL, y.lim = NULL, col.dots = NULL, col.lines = NULL, 
          type.dots = NULL,...)

Arguments

Value

methodmethod used to compute the optimal number of bins.resultsmatrix containing the main estimation results (sample size, polynomial order, number of bins, scales and bin lengths).coefmatrix containing the coefficients of the $p^{th}$ order global polynomial estimated both sides of the cutoff.

References

Calonico, S., M. D. Cattaneo, M. H. Farrell, and R. Titiunik. 2016. Regression Discontinuity Designs using Covariates. Working Paper. http://www-personal.umich.edu/~cattaneo/papers/Calonico-Cattaneo-Farrell-Titiunik_2016_wp.pdf. Calonico, S., M. D. Cattaneo, and R. Titiunik. 2014. Robust Data-Driven Inference in the Regression-Discontinuity Design. Stata Journal 14(4): 909-946. http://www-personal.umich.edu/~cattaneo/papers/Calonico-Cattaneo-Titiunik_2014_Stata.pdf. Calonico, S., M. D. Cattaneo, and R. Titiunik. 2015a. Optimal Data-Driven Regression Discontinuity Plots. Journal of the American Statistical Association 110(512): 1753-1769. http://www-personal.umich.edu/~cattaneo/papers/Calonico-Cattaneo-Titiunik_2015_JASA.pdf. Calonico, S., M. D. Cattaneo, and R. Titiunik. 2015b. rdrobust: An R Package for Robust Nonparametric Inference in Regression-Discontinuity Designs. R Journal 7(1): 38-51. http://www-personal.umich.edu/~cattaneo/papers/Calonico-Cattaneo-Titiunik_2015_R.pdf. Cattaneo, M. D., B. Frandsen, and R. Titiunik. 2015. Randomization Inference in the Regression Discontinuity Design: An Application to the Study of Party Advantages in the U.S. Senate. Journal of Causal Inference 3(1): 1-24. http://www-personal.umich.edu/~cattaneo/papers/Cattaneo-Frandsen-Titiunik_2015_JCI.pdf.

Examples

Run this code

x<-runif(1000,-1,1)
y<-5+3*x+2*(x>=0)+rnorm(1000)
rdplot(y,x)