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PanelMatch  

Matching Methods for Causal Inference with Time-Series Cross-Sectional Data
View on CRAN: Click here


Download and install PanelMatch package within the R console
Install from CRAN:
install.packages("PanelMatch")

Install from Github:
library("remotes")
install_github("cran/PanelMatch")

Install by package version:
library("remotes")
install_version("PanelMatch", "3.1.3")



Attach the package and use:
library("PanelMatch")
Maintained by
In Song Kim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-28
Latest Update: 2025-06-04
Description:
Implements a set of methodological tools that enable researchers to apply matching methods to time-series cross-sectional data. Imai, Kim, and Wang (2021) proposes a nonparametric generalization of the difference-in-differences estimator, which does not rely on the linearity assumption as often done in practice. Researchers first select a method of matching each treated observation for a given unit in a particular time period with control observations from other units in the same time period that have a similar treatment and covariate history. These methods include standard matching methods based on propensity score and Mahalanobis distance, as well as weighting methods. Once matching is done, both short-term and long-term average treatment effects for the treated can be estimated with standard errors. The package also offers a visualization technique that allows researchers to assess the quality of matches by examining the resulting covariate balance.
How to cite:
In Song Kim (2020). PanelMatch: Matching Methods for Causal Inference with Time-Series Cross-Sectional Data. R package version 3.1.3, https://cran.r-project.org/web/packages/PanelMatch. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-10-01 21:40), 1.0.0 (2020-02-28 12:20), 2.0.0 (2021-09-02 22:30), 2.0.1 (2022-06-26 23:30), 2.2.0 (2024-06-04 11:47), 3.0.0 (2025-03-03 10:50), 3.1.1 (2025-06-04 16:40), 3.1.3 (2025-12-13 22:10)
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