Adds a third differencing dimension to the standard DiD specification.
Usage
morie_did_triple_difference(
data,
outcome,
treatment,
post,
third_diff,
covariates = NULL,
cluster = NULL,
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.
- third_diff
Binary variable defining the additional differencing group.
- covariates
Optional character vector of covariate column names.
- cluster
Optional cluster ID column for CR1 standard errors.
- alpha
Significance level for confidence intervals (default 0.05).
Value
A result list; see morie_did_2x2.