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

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Documentation for package ‘PanelMatch’ version 2.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

balance_scatter	balance_scatter
dem	Country-level Democracy indicator
DisplayTreatment	DisplayTreatment
enforce_lead_restrictions	enforce_lead_restrictions check treatment and control units for treatment reversion in the lead window. Treated units must stay treated and control units must stay in control (according to the specified qoi)
get_covariate_balance	Calculate covariate balance
get_set_treatment_effects	get_set_treatment_effects
handle_moderating_variable	handle_moderating_variable handles moderating variable calculations: In practice, this just involves slicing the data up according to the moderator, calling PanelEstimate() and putting everything back together This function creates the sets of objects on which PanelEstimate() will be called. It identifies the set of valid values the moderating variable can take on.
matched_set	matched_set
PanelEstimate	PanelEstimate
PanelMatch	PanelMatch
perunitSum	perunitSum This is a low level function that is used to calculate a value associated with each unit. This value is a weighted summation of the dependent variable, based on the Wit values discussed in Imai et al. (2023)
perunitSum_Dit	perunitSum_Dit Similar to perunitSum, this is a low level helper function for calculating specific values defined in Imai et al. (2023). This focuses on Dit rather than Wit
placebo_test	placebo_test
plot.matched.set	Plot the distribution of the sizes of matched sets.
plot.PanelEstimate	Plot point estimates and standard errors from a PanelEstimate calculation.
print.matched.set	Print 'matched.set' objects.
summary.matched.set	Summarize information about a 'matched.set' object and the matched sets contained within them.
summary.PanelEstimate	Get summaries of PanelEstimate objects/calculations