staggered_ife_setup_pte: staggered_ife_setup_data

In bcallaway11/ife: Treatment Effects in Interactive Fixed Effects Models

staggered_ife_setup_data

Description

Estimate treatment effects in an interactive fixed effects model for untreated potential outcomes by exploiting staggered treatment adoption.

Usage

staggered_ife_setup_pte(
  yname,
  gname,
  tname,
  idname,
  data,
  required_pre_periods = 1,
  nife = 1,
  anticipation = 0,
  cband = TRUE,
  alp = 0.05,
  boot_type = boot_type,
  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 pre-treatment time periods that are needed
nife	the number of interactive fixed effects to include in the model
anticipation	Number of periods that treatment is anticipated. Default is 0. This is in “periods”; e.g., code will work in time periods are equally spaced but 2 years apart. In this case, to allow for treatment anticipation of 2 year (<=> 1 period), set anticipation = 1.
cband	whether to compute a uniform (instead of pointwise) confidence band
alp	significance level; default is 0.05
boot_type	type of bootstrap
biters	number of bootstrap iterations; default is 100
cl	number of clusters to be used when bootstrapping; default is 1
...	extra arguments

Value

pte_params object

bcallaway11/ife documentation built on Sept. 15, 2023, 12:33 a.m.