summary.PanelEstimate function

Get summaries of PanelEstimate objects and calculations

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

## S3 method for class '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)