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did
View on CRAN: Click
here
Download and install did package within the R console
Install from CRAN:
install.packages("did")
Install from Github:
library("remotes")
install_github("cran/did")
Install by package version:
library("remotes")
install_version("did", "2.1.2")
Attach the package and use:
library("did")
Maintained by
Brantly Callaway
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-04-03
Latest Update: 2022-07-20
Description:
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) . 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.
How to cite:
Brantly Callaway (2018). did: Treatment Effects with Multiple Periods and Groups. R package version 2.1.2, https://cran.r-project.org/web/packages/did
Previous versions and publish date:
Other packages that cited did R package
View did citation profile
Other R packages that did depends,
imports, suggests or enhances
Functions, R codes and Examples using
the did R package
Some associated functions: AGGTEobj . DIDparams . MP.TEST . MP . aggte . att_gt . build_sim_dataset . citation . compute.aggte . compute.att_gt . conditional_did_pretest . did . getSE . get_agg_inf_func . ggdid.AGGTEobj . ggdid.MP . ggdid . glance.AGGTEobj . glance.MP . gplot . indicator . mboot . mpdta . pre_process_did . print.AGGTEobj . print.MP . process_attgt . reexports . reset.sim . sim . splot . summary.AGGTEobj . summary.MP.TEST . summary.MP . test.mboot . tidy.AGGTEobj . tidy.MP . trimmer . wif .
Some associated R codes: AGGTEobj.R . DIDparams.R . MP.R . MP.TEST.R . aggte.R . att_gt.R . compute.aggte.R . compute.att_gt.R . conditional_did_pretest.R . data.R . ggdid.R . gplot.R . imports.R . mboot.R . pre_process_did.R . process_attgt.R . simulate_data.R . tidy.R . utility_functions.R . zzz.R . Full did package functions and examples
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