Geographic / boundary RDD on a signed distance

Usage

morie_rdd_geographic(
  data,
  outcome,
  distance_to_boundary,
  side,
  bandwidth = NULL,
  p = 1,
  kernel = "triangular",
  alpha = 0.05
)

Arguments

data: A data.frame holding the outcome, running variable, treatment, and any covariates referenced by name.
outcome: Character; column name of the response variable in data.
distance_to_boundary: Character; column name of the signed distance to the geographic boundary in data.
side: Character; column name encoding the treatment side (e.g. "left"/"right").
bandwidth: Numeric; the local-polynomial bandwidth on each side of the cutoff. NULL invokes the data-driven CCT selector.
p: Integer; local-polynomial order (default 1 for local- linear). 2 picks up quadratic curvature for bias correction.
kernel: One of "triangular" (default), "epanechnikov", "uniform", or "gaussian".
alpha: Significance level (default 0.05).

Value

A named list with elements estimate, std_error, t_stat, p_value, ci_lower, ci_upper, n_obs, method, details.

Examples

set.seed(1)
n <- 400
side <- rbinom(n, 1, 0.5)
dist_to_boundary <- runif(n, 0, 1)
signed <- ifelse(side == 1, dist_to_boundary, -dist_to_boundary)
y <- 0.5 * (signed >= 0) + rnorm(n, sd = 0.3)
d <- data.frame(y, dist_to_boundary, side)
res <- morie_rdd_geographic(d, "y", "dist_to_boundary", "side")
res$estimate
#> [1] 0.510945