didplot: DiD imputation plot

In CdfInnovLab/didImputation: Staggered difference-in-differences estimation

Description

Takes a didImputation estimation and return a graph of estimated parameters(for dynamic effects only).

Usage

didplot(object, type = "default", ci = 0.95, ...)

Arguments

object	an object of class DidImputation.
type	Character. Type of plot. Can be either 'default' or 'IR' for impulse response style.
ci	Numeric. Confidence interval( 0.95 by default).
...	additional arguments.

Value

A ggplot2 object

Examples

# standard plot
res <- didImputation(y ~ 0 | i + t,
              cohort = 'g',
              data = did_simulated)

didplot(res)

# Plot with 99% confidence interval

didplot(res, ci = 0.99)

# Plot with Impulse response function style

didplot(res, type = 'IR')

CdfInnovLab/didImputation documentation built on Dec. 17, 2021, 1:57 p.m.