Placebo cutoff falsification test

Usage

morie_rdd_placebo_cutoff(
  data,
  outcome,
  running,
  true_cutoff,
  placebo_cutoffs,
  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.
running: Character; column name of the running (forcing) variable in data.
true_cutoff: Numeric; the actual policy cutoff (placebo robustness re-runs the analysis at placebo_cutoffs).
placebo_cutoffs: Numeric vector of false cutoffs to test.
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).