rdestimate: RD Estimate Function

In rdlearn: Safe Policy Learning under Regression Discontinuity Design with Multiple Cutoffs

RD Estimate Function

Description

This function estimates local causal effect of treatment under standard regression discontinuity (RD) setting.

Usage

rdestimate(y, x, c, group_name = NULL, data)

Arguments

y	A character string specifying the name of column containing the outcome variable.
x	A character string specifying the name of column containing the running variable.
c	A character string specifying the name of column containing the cutoff variable.
group_name	A character ctring specifying the name of the column containing group names (e.g., department names) for each cutoff. If not provided, the groups are assigned names "Group 1", "Group 2", ... in ascending order of cutoff values.
data	A data frame containing all required variables.

Value

A data frame with the RD estimates for each group, including the sample size of each group, baseline cutoff, RD estimate, standard error, and p-value.

Examples

rdestimate_result <- rdestimate(
  y = "elig", x = "saber11", c = "cutoff",
  group_name = "department", data = acces
)
print(rdestimate_result)

rdlearn documentation built on April 4, 2025, 5:17 a.m.