Plots unit by unit difference-in-differences. Dot size indicates the weights omega_i used in the average that yields our treatment effect estimate. This estimate and endpoints of a 95% CI are plotted as horizontal lines. Requires ggplot2

Usage

synthdid_units_plot(
  estimates,
  negligible.threshold = SYNTHDID_NEGLIGIBLE_WEIGHT_THRESHOLD,
  negligible.alpha = SYNTHDID_NEGLIGIBLE_ALPHA_DEFAULT,
  se.method = "jackknife",
  units = NULL
)

Arguments

estimates: as output by synthdid_estimate. Can be a single one or a list of them.
negligible.threshold: Unit weight threshold below which units are plotted as small, transparent xs instead of circles. Defaults to .001.
negligible.alpha: Determines transparency of those xs.
se.method: the method used to calculate standard errors for the CI. See vcov.synthdid_estimate. Defaults to 'jackknife' for speed. If 'none', don't plot a CI.
units: a list of control units — elements of rownames(Y) — to plot differences for. Defaults to NULL, meaning all of them.

Value

A ggplot2 object showing unit-level treatment effect estimates.

Examples

# \donttest{
data(california_prop99)
setup <- panel.matrices(california_prop99)
tau.hat <- synthdid_estimate(setup$Y, setup$N0, setup$T0)

# Plot all units
synthdid_units_plot(tau.hat)


# Plot specific units only
# synthdid_units_plot(tau.hat, units = rownames(setup$Y)[1:10])

# Compare multiple estimates
tau.sc <- sc_estimate(setup$Y, setup$N0, setup$T0)
synthdid_units_plot(list(tau.sc, tau.hat))

# }