PanelMatch (version 3.0.0)

summary.PanelEstimate: Get summaries of PanelEstimate objects and calculations

Description

summary.PanelEstimate takes an object returned by PanelEstimate, and returns a summary table of point estimates and confidence intervals

Usage

# S3 method for PanelEstimate
summary(
  object,
  confidence.level = NULL,
  verbose = FALSE,
  bias.corrected = FALSE,
  ...
)

Arguments

object

A PanelEstimate object

confidence.level

Confidence level to be used for confidence interval calculations. Must be numeric between 0 and 1. If NULL, confidence level from PanelEstimate() specification is used.

verbose

logical indicating whether or not output should be printed in an expanded form. Default is FALSE

bias.corrected

logical indicating whether or not bias corrected estimates should be provided. Default is FALSE. This argument only applies for standard errors calculated with the bootstrap.

...

optional additional arguments. Currently, no additional arguments are supported.

Examples

dem.sub <- dem[dem[, "wbcode2"] <= 100, ]
dem.sub.panel <- PanelData(dem.sub, "wbcode2", "year", "dem", "y")
# create subset of data for simplicity
PM.results <- PanelMatch(panel.data = dem.sub.panel, lag = 4, 
                         refinement.method = "ps.match", 
                         match.missing = TRUE, 
                         covs.formula = ~ tradewb,
                         size.match = 5, qoi = "att",
                         lead = 0:4, 
                         forbid.treatment.reversal = FALSE)
PE.results <- PanelEstimate(sets = PM.results, 
                            panel.data = dem.sub.panel, 
                            se.method = "unconditional")
summary(PE.results)
summary(PE.results, confidence.level = .9)