View source: R/staggered_ife_setup_data.R
| staggered_ife_setup_data2 | R Documentation | 
This function sets up the periods/groups for using
staggered_ife_attgt2 (the main approach proposed in Callaway and
Tsyawo (2023)).
staggered_ife_setup_data2(
  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,
  ...
)
yname | 
 Name of outcome in   | 
gname | 
 Name of group in   | 
tname | 
 Name of time period in   | 
idname | 
 Name of id in   | 
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 | 
 how many periods before the treatment actually takes place that it can have an effect on outcomes  | 
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  | 
pte_params object
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