Two-way fixed-effects DID for repeated cross-sections
Usage
twfe_did_rc(
y,
post,
d,
covariates = NULL,
i.weights = NULL,
boot = FALSE,
boot.type = "weighted",
nboot = NULL,
multiplier_type = c("mammen", "normal", "bayes", "wild"),
inffunc = FALSE
)Arguments
- y
Outcome vector.
- post
Post-period indicator (1 post, 0 pre).
- d
Treatment indicator (1 treated, 0 control).
- covariates
Optional covariate matrix for saturation.
- i.weights
Optional sampling weights vector (non-negative).
- boot
Logical; if TRUE, use bootstrap for SE/CI.
- boot.type
Bootstrap type ("multiplier" or "weighted").
- nboot
Number of bootstrap draws.
- multiplier_type
Multiplier bootstrap type when
boot.type = "multiplier".- inffunc
Logical; include influence function in output.