calculate_estimates: calculate_estimates

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

calculate_estimates

Description

Mid-level function that helps with estimation process. Calls lower level helper functions

Usage

calculate_estimates(
  qoi.in,
  data.in,
  lead,
  number.iterations,
  att.treated.unit.ids,
  atc.treated.unit.ids,
  outcome.variable,
  unit.id.variable,
  confidence.level,
  att.sets,
  atc.sets,
  placebo.test = FALSE,
  lag,
  se.method,
  pooled = FALSE,
  parallel = FALSE,
  num.cores = 1
)

Arguments

qoi.in	String specifying qoi
data.in	data.frame object with the data
lead	integer specifying lead window
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
att.sets	matched.set object specifying the att or art sets
atc.sets	matched.set object specifying the atc sets
lag	integer vector specifying size of the lag.
se.method	string specifying which method should be used for standard error calculation
pooled	bool. specifies whether or not estimates should be calculated for each lead period, or pooled across all lead periods
parallel	bool. Specifies whether or not parallelization should be used
num.cores	Integer. specifies how many cores to use for parallelization

Value

Returns PanelEstimate object.

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