calculate_estimates function

calculate_estimates

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

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

Returns

Returns PanelEstimate object.