View source: R/attgt_functions.R
did_attgt | R Documentation |
Takes a "local" data.frame and computes an estimate of a group time average treatment effect and a corresponding influence function using a difference in differences approach.
The code relies on gt_data
having certain variables defined.
In particular, there should be an id
column (individual identifier),
D
(treated group identifier), period
(time period), name
(equal to "pre" for pre-treatment periods and equal to "post" for post
treatment periods), Y
(outcome).
In our case, we call pte::two_by_two_subset
which sets up the
data to have this format before the call to did_attgt
.
did_attgt(gt_data, xformla, ...)
gt_data |
data that is "local" to a particular group-time average treatment effect |
xformla |
one-sided formula for covariates used in the propensity score and outcome regression models |
... |
extra function arguments; not used here |
attgt_if
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