summary.PanelEstimate: Get summaries of PanelEstimate objects and calculations

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

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 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)

PanelMatch documentation built on April 3, 2025, 6:34 p.m.