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fdid

Factorial Difference-in-Differences

Implements the factorial difference-in-differences (FDID) framework for panel data settings where all units are exposed to a universal event but vary in a baseline factor G. Provides support for various estimators; supports robust, bootstrap, and jackknife variance; returns dynamic, pre/event/post aggregates and raw means; and includes helpers for data preparation and plotting. Methodology follows Xu, Zhao and Ding (2026) <doi:10.1080/01621459.2026.2628343>.

Versions across snapshots

VersionRepositoryFileSize
1.0.2 rolling source/ R- fdid_1.0.2.tar.gz 159.7 KiB
1.0.2 latest source/ R- fdid_1.0.2.tar.gz 159.7 KiB
1.0.2 2026-04-23 source/ R- fdid_1.0.2.tar.gz 159.7 KiB
1.0.2 2026-04-09 windows/windows R-4.5 fdid_1.0.2.zip 217.8 KiB

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