calculate_estimates: 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
)

Value

Returns PanelEstimate object.

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