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PanelMatch
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", "2.2.0")
Attach the package and use:
library("PanelMatch")
Maintained by
In Song Kim
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-28
Latest Update: 2022-06-26
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 2.2.0, https://cran.r-project.org/web/packages/PanelMatch. Accessed 22 Dec. 2024.
Previous versions and publish date:
Other packages that cited PanelMatch R package
View PanelMatch citation profile
Other R packages that PanelMatch depends,
imports, suggests or enhances
Complete documentation for PanelMatch
Functions, R codes and Examples using
the PanelMatch R package
Some associated functions: DisplayTreatment . PanelEstimate . PanelMatch-package . PanelMatch . balance_scatter . dem . findBinaryTreated . findContinuousTreated . get.matchedsets . get_covariate_balance . get_set_treatment_effects . matched_set . placebo_test . plot.PanelEstimate . plot.matched.set . print.matched.set . summary.PanelEstimate . summary.matched.set .
Some associated R codes: DisplayTreatment.R . PE_helpers.R . PE_lower_level.R . PanelEstimate.R . PanelEstimateObject.R . PanelMatch-package.R . PanelMatch.R . RcppExports.R . data.R . exact_match.R . listwise_delete.R . matched_set_obj.R . network_and_caliper.R . pm_helpers_r.R . utilities.R . Full PanelMatch package functions and examples
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