pte_params: pte_params

In bcallaway11/pte: Panel Treatment Effects

pte_params

Description

Objects that contain pte parameters

Usage

pte_params(
  yname,
  gname,
  tname,
  idname,
  data,
  glist,
  tlist,
  cband,
  alp,
  boot_type,
  anticipation = NULL,
  base_period = NULL,
  weightsname = NULL,
  control_group = "notyettreated",
  gt_type = "att",
  ret_quantile = 0.5,
  global_fun = FALSE,
  time_period_fun = FALSE,
  group_fun = FALSE,
  biters,
  cl
)

Arguments

yname	Name of outcome in data
gname	Name of group in data
tname	Name of time period in data
idname	Name of id in data
data	balanced panel data
glist	list of groups to create group-time average treatment effects for
tlist	list of time periods to create group-time average treatment effects for
cband	whether or not to report a uniform (instead of pointwise) confidence band (default is TRUE)
alp	significance level; default is 0.05
boot_type	which type of bootstrap to use
anticipation	how many periods before the treatment actually takes place that it can have an effect on outcomes
base_period	The type of base period to use. This only affects the numeric value of results in pre-treatment periods. Results in post-treatment periods are not affected by this choice. The default is "varying", where the base period will "back up" to the immediately preceding period in pre-treatment periods. The other option is "universal" where the base period is fixed in pre-treatment periods to be the period right before the treatment starts. "Universal" is commonly used in difference-in-differences applications, but can be unnatural for other identification strategies.
weightsname	The name of the column that contains sampling weights. The defaul is NULL, in which case no sampling weights are used.
control_group	Which group is used as the comparison group. The default choice is "notyettreated", but different estimation strategies can implement their own choices for the control group
gt_type	which type of group-time effects are computed. The default is "att". Different estimation strategies can implement their own choices for gt_type
ret_quantile	For functions that compute quantile treatment effects, this is a specific quantile at which to report results, e.g., ret_quantile = 0.5 will return that the qte at the median.
global_fun	Logical indicating whether or not untreated potential outcomes can be estimated in one shot, i.e., for all groups and time periods. Main use case would be for one-shot imputation estimators. Not supported yet.
time_period_fun	Logical indicating whether or not untreated potential outcomes can be estimated for all groups in the same time period. Not supported yet.
group_fun	Logical indicating whether or not untreated potential outcomes can be estimated for all time periods for a single group. Not supported yet. These functions aim at reducing or eliminating running the same code multiple times.
biters	number of bootstrap iterations; default is 100
cl	number of clusters to be used when bootstrapping; default is 1

bcallaway11/pte documentation built on Jan. 11, 2025, 2:30 a.m.