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R package for implementing counterfactual estimators in panel fixed-effect settings. It is suitable for panel/TSCS analysis with binary treatments under (hypothetically) baseline randomization. It allows a treatment to switch on and off and limited carryover effects. It supports linear factor models—hence, a generalization of gsynth—and the matrix completion method.
Repo: GitHub (0.4.1)
Examples: R code used in the tutorial can be downloaded from here.
Reference: Licheng Liu, Ye Wang, Yiqing Xu (2021). A Practical Guide to Counterfactual Estimators for Causal Inference with Time-Series Cross-Sectional Data. American Journal of Political Science, conditionally accepted.
You can install the development version of fect from GitHub by typing the following commands:
devtools::install_github('xuyiqing/fect')panelview for panel data visualization is also highly recommended:
devtools::install_github('xuyiqing/panelView')fect depends on the following packages, which will be installed automatically when fect is being installed. You can also install them manually.
## for processing C++ code
require(Rcpp)
## for plotting
require(ggplot2)
require(GGally)
require(grid)
require(gridExtra)
## for parallel computing
require(foreach)
require(future)
require(doParallel)
require(abind) Please report bugs to yiqingxu [at] stanford.edu with your sample code and data file. Much appreciated!
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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