rd_sens_cutoff: Cutoff Sensitivity Simulation for Regression Discontinuity

In rddapp: Regression Discontinuity Design Application

Cutoff Sensitivity Simulation for Regression Discontinuity

Description

rd_sens_cutoff refits the supplied model with varying cutoff(s). All other aspects of the model, such as the automatically calculated bandwidth, are held constant.

Usage

rd_sens_cutoff(object, cutoffs)

Arguments

object	An object returned by rd_est or rd_impute.
cutoffs	A numeric vector of cutoff values to be used for refitting an rd object.

Value

rd_sens_cutoff returns a dataframe containing the estimate est and standard error se for each cutoff value (A1). Column A1 contains varying cutoffs on the assignment variable. The model column contains the parametric model (linear, quadratic, or cubic) or non-parametric bandwidth setting (Imbens-Kalyanaraman 2012 optimal, half, or double) used for estimation.

References

Imbens, G., Kalyanaraman, K. (2012). Optimal bandwidth choice for the regression discontinuity estimator. The Review of Economic Studies, 79(3), 933-959. https://academic.oup.com/restud/article/79/3/933/1533189.

Examples

set.seed(12345)
x <- runif(1000, -1, 1)
cov <- rnorm(1000)
y <- 3 + 2 * x + 3 * cov + 10 * (x >= 0) + rnorm(1000)
rd <- rd_est(y ~ x | cov, t.design = "geq")
rd_sens_cutoff(rd, seq(-.5, .5, length.out = 10))

rddapp documentation built on April 6, 2023, 1:15 a.m.