Package: PanelMatch 1.0.1

PanelMatch: Matching Methods for Causal Inference with Time-Series Cross-Sectional Data

Implements a set of methodological tools that enable researchers to apply matching methods to time-series cross-sectional data. Imai, Kim, and Wang (2018) <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.

Authors:In Song Kim [aut, cre], Adam Rauh [aut], Erik Wang [aut], Kosuke Imai [aut]

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Peer review:

Bug tracker:https://github.com/insongkim/panelmatch/issues

On CRAN:

6 exports 113 stars 4.40 score 45 dependencies 1 mentions 101 scripts 497 downloads

Last updated 4 months agofrom:b8a7e90426. Checks:OK: 1 NOTE: 4 WARNING: 4. Indexed: yes.

Exports:balance_scatterDisplayTreatmentget_covariate_balancematched_setPanelEstimatePanelMatch

Dependencies:backportsCBPSchkclicodetoolscolorspacedata.tablefansifarverforeachggplot2glmnetgluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatchItMatrixmgcvmunsellnlmennetnumDerivpillarpkgconfigR6RColorBrewerRcppRcppArmadilloRcppEigenRcppProgressrlangscalesshapesurvivaltibbleutf8vctrsviridisLitewithr