What is rdplot?
rdplot: Data-Driven Regression Discontinuity Plots.
What is Rdrobust?
The rdrobust package provides Python, R and Stata implementations of statistical inference and graphical procedures for Regression Discontinuity designs employing local polynomial and partitioning methods.
What does rdrobust do in r?
The function rdrobust() implements the above RD point estimators with options c to set ¯x, deriv to set ν, p to set p, kernel to set K(·), and h to set hn, among others. The main obstacle in the practical implementation of RD local polynomial estimators is bandwidth selection.
What is optimal bandwidth?
This optimal bandwidth depends on unknown functionals of the distribution of the data and we propose. simple and consistent estimators for these functionals to obtain a fully data-driven bandwidth algorithm. We show that this bandwidth estimator is optimal according to the criterion of Li (1987, “Asymptotic.
What is bandwidth in RDD?
The local strategy approach to RDD uses only observations close to the cutoff score to estimate the treatment effect. ▪ The range around the cutoff score that defines which observations are included is called the bandwidth.
What is bandwidth in RD?
ance of the RD point estimator. The bandwidth determines the neighborhood of observations. around the cutoff that will be used to approximate the unknown function E[Yi|Xi = x] above. and below the cutoff.
What is McCrary test?
– McCrary (2008) provides a formal test for manipulation of the assignment variable in an RD. The idea is that the marginal density of X should be continuous without manipulation and hence we look for discontinuities in the density around the threshold.
What is RDD bandwidth?
What is RD in econometrics?
In statistics, econometrics, political science, epidemiology, and related disciplines, a regression discontinuity design (RDD) is a quasi-experimental pretest-posttest design that aims to determine the causal effects of interventions by assigning a cutoff or threshold above or below which an intervention is assigned.
What does rdplot stand for?
View source: R/rdplot.R rdplot implements several data-driven Regression Discontinuity (RD) plots, using either evenly-spaced or quantile-spaced partitioning.
What is binned sample in Rd plot?
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).
What is the optional setting in Rd plot?
optional setting for the color of the dots in the RD plot. optional setting for the color of the lines in the RD plot. method used to compute the optimal number of bins. sample sizes used to the left and right of the cutoff. effective sample sizes used to the left and right of the cutoff.
What is the default cutoff value for Rd cut offs?
specifies the RD cutoff in x; default is c = 0. specifies the order of the global-polynomial used to approximate the population conditional mean functions for control and treated units; default is p = 4. specifies the number of bins used to the left of the cutoff, denoted J_-, and to the right of the cutoff, denoted J_+, respectively.