rdd_reg_np: Parametric polynomial estimator of the regression...
In bquast/RDDtools: Toolbox for Regression Discontinuity Design ('RDD')

rdd_reg_np

R Documentation

Parametric polynomial estimator of the regression discontinuity

Description

Compute a parametric polynomial regression of the ATE, possibly on the range specified by bandwidth

Usage

rdd_reg_np(
  rdd_object,
  covariates = NULL,
  bw = rdd_bw_ik(rdd_object),
  slope = c("separate", "same"),
  inference = c("np", "lm"),
  covar.opt = list(slope = c("same", "separate"), bw = NULL)
)

Arguments

`rdd_object`	Object of class rdd_data created by `rdd_data`
`covariates`	TODO
`bw`	A bandwidth to specify the subset on which the parametric regression is estimated
`slope`	Whether slopes should be different on left or right (separate), or the same.
`inference`	Type of inference to conduct: non-parametric one (`np`) or standard (`lm`). See details.
`covar.opt`	Options for the inclusion of covariates. Way to include covariates, either in the main regression (`include`) or as regressors of y in a first step (`residual`).

Value

An object of class rdd_reg_np and class lm, with specific print and plot methods

References

TODO

Examples

## Step 0: prepare data
data(house)
house_rdd <- rdd_data(y=house$y, x=house$x, cutpoint=0)
## Step 2: regression
# Simple polynomial of order 1:
reg_nonpara <- rdd_reg_np(rdd_object=house_rdd)
print(reg_nonpara)
plot(reg_nonpara)

bquast/RDDtools documentation built on Nov. 16, 2023, 3:28 a.m.