get_set_treatment_effects: Calculate matched set level treatment effects

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

Calculate matched set level treatment effects

Description

Calculate the size of treatment effects for each matched set.

Usage

get_set_treatment_effects(pm.obj, panel.data, lead)

Arguments

pm.obj	an object of class PanelMatch
panel.data	PanelData object with the time series cross sectional data used for matching, refinement, and estimation
lead	integer (or integer vector) indicating the time period(s) in the future for which the treatment effect size will be calculated. Calculations will be made for the period t + lead, where t is the time of treatment. If more than one lead value is provided, then calculations will be performed for each value.

Value

a list equal in length to the number of lead periods specified to the lead argument. Each element in the list is a vector of the matched set level effect estimates.

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)
set.effects <- get_set_treatment_effects(pm.obj = PM.results, 
                panel.data = dem.sub.panel, lead = 0)

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