Implements a set of methodological tools that enable researchers to apply matching methods to time-series cross-sectional data. Imai, Kim, and Wang (2021) <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 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.
|Depends:||R (≥ 2.14.0)|
|Imports:||Rcpp (≥ 0.12.5), data.table, ggplot2, CBPS, stats, graphics, grDevices, MASS, Matrix, igraph, methods|
|LinkingTo:||RcppArmadillo, Rcpp, RcppEigen|
|Suggests:||knitr, rmarkdown, testthat (≥ 2.1.0)|
|Author:||In Song Kim [aut, cre], Adam Rauh [aut], Erik Wang [aut], Kosuke Imai [aut]|
|Maintainer:||In Song Kim <insong at mit.edu>|
|License:||GPL (≥ 3)|
|CRAN checks:||PanelMatch results|
Matched Set Objects
|Windows binaries:||r-devel: PanelMatch_2.0.1.zip, r-release: PanelMatch_2.0.1.zip, r-oldrel: PanelMatch_2.0.1.zip|
|macOS binaries:||r-release (arm64): PanelMatch_2.0.1.tgz, r-oldrel (arm64): PanelMatch_2.0.1.tgz, r-release (x86_64): PanelMatch_2.0.1.tgz, r-oldrel (x86_64): PanelMatch_2.0.1.tgz|
|Old sources:||PanelMatch archive|
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