setup_pte: Setup panel treatment effects parameters

In bcallaway11/pte: Panel Treatment Effects

Setup panel treatment effects parameters

Description

This is a function for how to setup the data to be used in the pte package.

The setup_pte function builds on setup_pte_basic and attempts to provide a general purpose function (with error handling) to arrange the data in a way that can be processed by subset_fun and attgt_fun in the next steps.

Usage

setup_pte(
  yname,
  gname,
  tname,
  idname,
  data,
  required_pre_periods = 1,
  anticipation = 0,
  base_period = "varying",
  cband = TRUE,
  alp = 0.05,
  boot_type = "multiplier",
  weightsname = NULL,
  gt_type = "att",
  ret_quantile = 0.5,
  biters = 100,
  cl = 1,
  ...
)

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
required_pre_periods	The number of required pre-treatment periods to implement the estimation strategy. Default is 1.
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.
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
weightsname	The name of the column that contains sampling weights. The defaul is NULL, in which case no sampling weights are used.
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.
biters	number of bootstrap iterations; default is 100
cl	number of clusters to be used when bootstrapping; default is 1
...	additional arguments

Value

pte_params object

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