Implements a set of methodological tools that enable researchers to apply matching methods to time-series cross-sectional data. Imai, Kim, and Wang (2023) <http://web.mit.edu/insong/www/pdf/tscs.pdf> 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 and refinement is done, treatment effects can be estimated with standard errors. The package also offers diagnostics for researchers to assess the quality of their results.
Version: 3.1.1 Depends: R (≥ 2.14.0) Imports: Rcpp (≥ 0.12.5), data.table, ggplot2, CBPS, stats, graphics, MASS, Matrix, doParallel, foreach, methods LinkingTo: RcppArmadillo, Rcpp, RcppEigen Suggests: knitr, rmarkdown, testthat (≥ 2.1.0) Published: 2025-06-04 DOI: 10.32614/CRAN.package.PanelMatch Author: In Song Kim [aut, cre], Adam Rauh [aut], Erik Wang [aut], Kosuke Imai [aut] Maintainer: In Song Kim <insong at mit.edu> BugReports: https://github.com/insongkim/PanelMatch/issues License: GPL (≥ 3) NeedsCompilation: yes In views: CausalInference CRAN checks: PanelMatch results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=PanelMatch to link to this page.
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