Repeated Cross Sections Difference-in-Differences for ATT(g,t)

Takes a local repeated cross sections data set and computes an estimate of a group-time average treatment effect and corresponding influence function using a repeated cross sections DID approach.

Usage

did_rcs_attgt(gt_data, xformula = ~1, est_method = "dr", ...)

Arguments

gt_data: data that is "local" to a particular group-time average treatment effect
xformula: one-sided formula for covariates used in the propensity score and outcome regression models
est_method: Which type of estimation method to use. Default is "dr" for doubly robust. The other option is "reg" for regression adjustment.
...: extra function arguments; not used here

Value

attgt_if