Difference-in-differences estimates of ATT(g,t), given a group g and time period t.

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 two_by_two_subset which sets up the data to have this format before the call to did_attgt.

Usage

did_attgt(gt_data, xformula = ~1, ...)

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

...

extra function arguments; not used here

Value

attgt_if