pte_default: pte_default

In bcallaway11/pte: Panel Treatment Effects

pte_default

Description

This is a generic/example wrapper for a call to the pte function.

This function provides access to difference-in-differences and unconfoundedness based identification/estimation strategies given (i) panel data and (ii) staggered treatment adoption

Usage

pte_default(
  yname,
  gname,
  tname,
  idname,
  data,
  xformla = ~1,
  d_outcome = FALSE,
  d_covs_formula = ~-1,
  lagged_outcome_cov = FALSE,
  est_method = "dr",
  anticipation = 0,
  base_period = "varying",
  cband = TRUE,
  alp = 0.05,
  boot_type = "multiplier",
  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
xformla	one-sided formula for covariates used in the propensity score and outcome regression models
d_outcome	Whether or not to take the first difference of the outcome. The default is FALSE. To use difference-in-differences, set this to be TRUE.
d_covs_formula	A formula for time varying covariates to enter the first estimation step models. The default is not to include any, and, hence, to only include pre-treatment covariats.
lagged_outcome_cov	Whether to include the lagged outcome as a covariate. Default is FALSE.
est_method	Which type of estimation method to use. Default is "dr" for doubly robust. The other option is "reg" for regression adjustment.
alp	significance level; default is 0.05
boot_type	should be one of "multiplier" (the default) or "empirical". The multiplier bootstrap is generally much faster, but attgt_fun needs to provide an expression for the influence function (which could be challenging to figure out). If no influence function is provided, then the pte package will use the empirical bootstrap no matter what the value of this parameter.
biters	number of bootstrap iterations; default is 100
cl	number of clusters to be used when bootstrapping; default is 1

Value

pte_results object

bcallaway11/pte documentation built on Oct. 20, 2023, 3:21 p.m.