Heterogeneity-robust DiD by sub-group / moderator quantile — morie_did

Splits the sample by quantiles (or categories) of a moderator and estimates separate 2x2 DiDs.

Usage

morie_did_heterogeneous(
  data,
  outcome,
  treatment,
  post,
  moderator,
  covariates = NULL,
  cluster = NULL,
  n_quantiles = 4L,
  alpha = 0.05
)

Arguments

data: A data frame containing the outcome, treatment, post and any covariate columns.
outcome: Name of the outcome column.
treatment: Name of the binary (0/1) treatment-group column.
post: Name of the binary (0/1) post-period column.
moderator: Column to split on.
covariates: Optional character vector of covariate column names.
cluster: Optional cluster ID column for CR1 standard errors.
n_quantiles: Number of quantile bins if the moderator is continuous.
alpha: Significance level for confidence intervals (default 0.05).

Value

A data frame with one row per stratum.