knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
bacondecomp is a package with tools to perform the Goodman-Bacon decomposition for differences-in-differences with variation in treatment timing. The decomposition can be done with and without time-varying covariates.
You can install
bacondecomp 0.1.0 from CRAN:
You can install the development version of
bacondecomp from GitHub:
bacon(): calculates all 2x2 differences-in-differences estimates and weights for the Bacon-Goodman decomposition.
math_refom: Aggregated data from Goodman (2019, JOLE)
castle: Data from Cheng and Hoekstra (2013, JHR)
divorce:Data from Stevenson and Wolfers (2006, QJE)
This is a basic example which shows you how to use the bacon() function to decompose the two-way fixed effects estimate of the effect of an education reform on future earnings following Goodman (2019, JOLE).
library(bacondecomp) df_bacon <- bacon(incearn_ln ~ reform_math, data = bacondecomp::math_reform, id_var = "state", time_var = "class") library(ggplot2) ggplot(df_bacon) + aes(x = weight, y = estimate, shape = factor(type)) + geom_point() + geom_hline(yintercept = 0) + labs(x = "Weight", y = "Estimate", shape = "Type")
Goodman-Bacon, Andrew. 2018. "Difference-in-Differences with Variation in Treatment Timing." National Bureau of Economic Research Working Paper Series No. 25018. doi: 10.3386/w25018.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.