# rd_sens_cutoff: Cutoff Sensitivity Simulation for Regression Discontinuity In rddapp: Regression Discontinuity Design Application

 rd_sens_cutoff R Documentation

## 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.