get_set_treatment_effects function

Calculate matched set level treatment effects

Calculate the size of treatment effects for each matched set.

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.

Returns

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)