sim: sim

In did: Treatment Effects with Multiple Periods and Groups

sim

Description

An internal function that builds simulated data, computes ATT(g,t)'s and some aggregations. It is useful for testing the inference procedures in the did function.

Usage

sim(
  sp_list,
  ret = NULL,
  bstrap = TRUE,
  cband = TRUE,
  control_group = "nevertreated",
  xformla = ~X,
  est_method = "dr",
  clustervars = NULL,
  panel = TRUE
)

Arguments

sp_list	A list of simulation parameters. See reset.sim to generate some default values for parameters
ret	which type of results to return. The options are Wpval (returns 1 if the p-value from a Wald test that all pre-treatment ATT(g,t)'s are equal is less than .05), cband (returns 1 if a uniform confidence band covers 0 for groups and times), simple (returns 1 if, using the simple treatment effect aggregation results in rejecting that this aggregated treatment effect parameter is equal to 0), dynamic (returns 1 if the uniform confidence band from the dynamic treatment effect aggregation covers 0 in all pre- and post-treatment periods). The default value is NULL, and in this case the function will just return the results from the call to att_gt.
bstrap	whether or not to use the bootstrap to conduct inference (default is TRUE)
cband	whether or not to compute uniform confidence bands in the call to att_gt (the default is TRUE)
control_group	Whether to use the "nevertreated" comparison group (the default) or the "notyettreated" as the comparison group
xformla	Formula for covariates in att_gt (default is ~X)
est_method	Which estimation method to use in att_gt (default is "dr")
clustervars	Any additional variables which should be clustered on
panel	whether to simulate panel data (the default) or otherwise repeated cross sections data

Value

When ret=NULL, returns the results of the call to att_gt, otherwise returns 1 if the specified test rejects or 0 if not.

did documentation built on July 20, 2022, 5:06 p.m.