Package: PanelMatch Type: Package Title: Matching Methods for Causal Inference with Time-Series Cross-Sectional Data Version: 1.0.1 Date: 2020-02-10 Authors@R: c( person("In Song", "Kim", email = "insong@mit.edu", role = c("aut", "cre")), person("Adam", "Rauh", email = "amrauh@umich.edu", role = c("aut")), person("Erik", "Wang", email = "haixiaow@Princeton.edu", role = c("aut")), person("Kosuke", "Imai", email = "imai@harvard.edu", role = c("aut")) ) Description: Implements a set of methodological tools that enable researchers to apply matching methods to time-series cross-sectional data. Imai, Kim, and Wang (2018) 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. License: GPL(>= 3) Imports: Rcpp (>= 0.12.5), data.table, ggplot2, CBPS, stats, graphics, grDevices, MASS, Matrix, methods Depends: R (>= 2.14.0) SystemRequirements: C++11 LinkingTo: RcppArmadillo, Rcpp, RcppEigen Encoding: UTF-8 LazyData: true BugReports: https://github.com/insongkim/PanelMatch/issues RoxygenNote: 7.1.0 Suggests: knitr, rmarkdown, testthat (>= 2.1.0) VignetteBuilder: knitr Repository: https://insongkim.r-universe.dev Date/Publication: 2025-02-27 22:41:44 UTC RemoteUrl: https://github.com/insongkim/panelmatch RemoteRef: HEAD RemoteSha: 20b1fb54f19ea76a7281d9671937fb7f095eace2 NeedsCompilation: yes Packaged: 2026-07-07 05:41:56 UTC; root Author: In Song Kim [aut, cre], Adam Rauh [aut], Erik Wang [aut], Kosuke Imai [aut] Maintainer: In Song Kim