handle_bootstrap_parallel: handle_bootstrap_parallel

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

handle_bootstrap_parallel

Description

Helper function for calculating bootstrapped estimates for the QOI. This version is parallelized.

Usage

handle_bootstrap_parallel(
  qoi.in,
  data.in,
  lead,
  number.iterations,
  att.treated.unit.ids,
  atc.treated.unit.ids,
  outcome.variable,
  unit.id.variable,
  confidence.level,
  lag,
  pooled,
  num.cores = 1
)

Arguments

qoi.in	String specifying qoi
data.in	data.frame object with the data
number.iterations	integer. Specifies number of bootstrap iterations
att.treated.unit.ids	Integer vector specifying the treated units for the att or art
atc.treated.unit.ids	Integer vector specifying the "treated" units under the atc definition
outcome.variable	string specifying the name of the outcome variable
unit.id.variable	string specifying the name of the unit id variable
confidence.level	double. specifies confidence level for confidence interval
lag	integer vector specifying size of the lag.
pooled	logical. Specifies whether or not to calculate point estimates for each specified lead value, or a single pooled estimate.
num.cores	number of cores to be used for parallelization

Value

Returns a matrix of bootstrapped QOI estimate values.

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