lwd_refinement: lwd_refinement master function that performs refinement with...

In PanelMatch: Matching Methods for Causal Inference with Time-Series Cross-Sectional Data

lwd_refinement master function that performs refinement with listwise deletion = TRUE

Description

lwd_refinement master function that performs refinement with listwise deletion = TRUE

Usage

lwd_refinement(
  msets,
  global.data,
  treated.ts,
  treated.ids,
  lag,
  time.id,
  unit.id,
  lead,
  refinement.method,
  treatment,
  size.match,
  match.missing,
  covs.formula,
  verbose,
  outcome.var,
  e.sets,
  use.diag.covmat
)

Arguments

msets
global.data	data.frame. needs to be fully prepped/parsed data set that is internally balanced, full of NAs likely
treated.ts	vector of the times of treatment for treated observations
treated.ids	vector of unit identifiers of treated observations
lag
time.id	string specifying
unit.id
lead	vector of lead values
refinement.method	string specifying refinement method
treatment	string specifying treatment variable
size.match	maximum number of units to give non-zero weight to when using matching refinement method
match.missing	logical. indicates whether or not to allow the package to match units on missingness in treatment history
covs.formula	see PanelMatch documentation for descriptions
verbose	see PanelMatch documentation for descriptions
outcome.var	string specifying outcome variable
e.sets	empty sets (treated observations with no matched controls)
use.diag.covmat	see PanelMatch documentation for descriptions

Value

matched.set object with refined matched sets.

PanelMatch documentation built on June 22, 2024, 10:32 a.m.