PanelMatch

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

CRAN Package

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.

  • Version3.0.0
  • R versionR (≥ 2.14.0)
  • LicenseGPL (≥ 3)
  • Needs compilation?Yes
  • Last release03/03/2025

Documentation


Team


Insights

Last 30 days

This package has been downloaded 730 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 26 times.

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0 downloadsFeb 9, 2025
0 downloadsFeb 10, 2025
0 downloadsFeb 11, 2025
0 downloadsFeb 12, 2025
17 downloadsFeb 13, 2025
21 downloadsFeb 14, 2025
7 downloadsFeb 15, 2025
11 downloadsFeb 16, 2025
17 downloadsFeb 17, 2025
25 downloadsFeb 18, 2025
24 downloadsFeb 19, 2025
29 downloadsFeb 20, 2025
17 downloadsFeb 21, 2025
15 downloadsFeb 22, 2025
17 downloadsFeb 23, 2025
26 downloadsFeb 24, 2025
21 downloadsFeb 25, 2025
29 downloadsFeb 26, 2025
20 downloadsFeb 27, 2025
12 downloadsFeb 28, 2025
20 downloadsMar 1, 2025
6 downloadsMar 2, 2025
54 downloadsMar 3, 2025
70 downloadsMar 4, 2025
49 downloadsMar 5, 2025
19 downloadsMar 6, 2025
25 downloadsMar 7, 2025
30 downloadsMar 8, 2025
21 downloadsMar 9, 2025
15 downloadsMar 10, 2025
29 downloadsMar 11, 2025
21 downloadsMar 12, 2025
37 downloadsMar 13, 2025
26 downloadsMar 14, 2025
0 downloadsMar 15, 2025
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70

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 6,773 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Jul 21, 2024 with 146 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports8 packages
  • Suggests3 packages
  • Linking To3 packages