Package: did 2.2.0.908
did: Treatment Effects with Multiple Periods and Groups
The standard Difference-in-Differences (DID) setup involves two periods and two groups -- a treated group and untreated group. Many applications of DID methods involve more than two periods and have individuals that are treated at different points in time. This package contains tools for computing average treatment effect parameters in Difference in Differences setups with more than two periods and with variation in treatment timing using the methods developed in Callaway and Sant'Anna (2021) <doi:10.1016/j.jeconom.2020.12.001>. The main parameters are group-time average treatment effects which are the average treatment effect for a particular group at a a particular time. These can be aggregated into a fewer number of treatment effect parameters, and the package deals with the cases where there is selective treatment timing, dynamic treatment effects, calendar time effects, or combinations of these. There are also functions for testing the Difference in Differences assumption, and plotting group-time average treatment effects.
Authors:
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did.pdf |did.html✨
did/json (API)
NEWS
# Install 'did' in R: |
install.packages('did', repos = c('https://bcallaway11.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bcallaway11/did/issues
- mpdta - County Teen Employment Dataset
Last updated 1 days agofrom:8d33d4c03d. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 05 2024 |
R-4.5-win | OK | Nov 05 2024 |
R-4.5-linux | OK | Nov 05 2024 |
R-4.4-win | OK | Nov 05 2024 |
R-4.4-mac | OK | Nov 05 2024 |
R-4.3-win | OK | Nov 05 2024 |
R-4.3-mac | OK | Nov 05 2024 |
Exports:aggteAGGTEobjatt_gtbuild_sim_datasetcompute.aggtecompute.att_gtconditional_did_pretestDIDparamsget_wide_dataggdidglancegplotindicatormbootMPMP.TESTpre_process_didprocess_attgtreset.simsimsplottest.mboottidytrimmer
Dependencies:abindbackportsBHbigmemorybigmemory.sriBMiscbootbroomcarcarDatacaretclasscliclockcodetoolscolorspacecorrplotcowplotcpp11data.tableDerivdiagramdigestdoBydplyrDRDIDe1071fansifarverfastglmforeachFormulafuturefuture.applygenericsggplot2ggpubrggrepelggsciggsignifglobalsgluegowergridExtragtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlme4lubridatemagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqaModelMetricsmodelrmunsellnlmenloptrnnetnumDerivparallellyparglmpbapplypbkrtestpillarpkgconfigplyrpolynompROCprodlimprogressrproxypurrrquantregR6RColorBrewerRcppRcppArmadilloRcppEigenrecipesreshape2rlangrpartrstatixscalesshapeSparseMSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetrusttzdbutf8uuidvctrsviridisLitewithr
Getting Started with the did Package
Rendered fromdid-basics.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2023-08-30
Started: 2019-03-27
Introduction to DiD with Multiple Time Periods
Rendered frommulti-period-did.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2021-12-03
Started: 2020-03-31
Pre-Testing in a DiD Setup using the did Package
Rendered frompre-testing.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2023-08-30
Started: 2020-03-31
Problems with two-way fixed-effects event-study regressions
Rendered fromTWFE.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2023-08-30
Started: 2021-01-14
Writing Extensions to the did Package
Rendered fromextensions.Rmd
usingknitr::rmarkdown
on Nov 05 2024.Last update: 2020-12-08
Started: 2020-07-21