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Added wrapper function for HonestDiD package
Fix bug for setups where gname
is not contained in
tname
(but is in the tname
range)
Fix bug for including too many groups with universal base period in pre-treatment periods
Bug fix for anticipation using notyettreated
comparison group
Bug fixes related unbalanced panel and clustered standard errors
Bug fixes for conditional_did_pretest
Even faster bootstrap code (thanks Kyle Butts)
Updated version requirement for BMisc
package
Bug fix for unbalanced panel and repeated cross sections in pre-treatment periods using universal base period
Code is substantially faster/more memory efficient
Support for universal base period
Major improvements to unit testing
Completely removed mp.spatt
and
mp.spatt.test
functions (which were the original names for
att_gt
)
Simulation/testing code now exported
Removed some slow running checks
Multiplier bootstrap code is now written in C++
Improvements to error handling, added some additional warning messages, removed some unnecessary warning messages
Bug fixes for NA standard errors that occur with very small groups
Improved plots
Maximum event time for event studies
Compute critical value for simultaneous confidence bands even when some standard error is zero (set these to NA)
Improved codes for unbalanced panel data: faster and more memory efficient
Correct estimates of P(G=g|Eventually treated) with unbalanced panel data. This affects aggte objects with unbalanced panel data
Bug fixes for summary aggte objects
Allow clustering for unbalanced panel data
Fixed error in calendar-type aggregation within aggte function (point estimates were not being weighted by group-size; now they are).
Additional error handling
Big improvement on code base / functionality / testing
Deprecated mp.spatt function and replaced it with att_gt function
Calling att_gt is similar to calling
mp.spatt; instead of formula for outcome of the form
y~treat
, now just pass the name of the outcome
variable
Deprecated mp.spatt function and replaced it with conditional_did_pretest function
New est_method parameter. Can call any function for 2x2 DID in the DRDID package (default is now doubly robust estimation, but inverse probability weights and regression estimators are also supported) as well as provide custom 2x2 DID estimators
Bug fixes for including groups that are already treated in the first period
Allow for user to select control group – either never treated or not yet treated
Add functionality for uniform confidence bands for all aggregated treatment effect parameters
Introduced dynamic effects in pre-treatment periods. These allow for users to report event study plots that are common that include pre-treatment periods and are common in applied work. The event study plots in the did package are robust to selective treatment timing (unlike standard regression event study plots)
Support for using repeated cross sections data instead of panel data is much improved
Support for using sampling weights is much improved
Big improvement to website, vignettes, and code documentation
Code for dealing with unbalanced panels
Allow for event studies to be computed over subsets of event times
Allow for treatment anticipation via anticipation argument
Improved ways to summarize aggregated treatment effect parameters
Fixed bug related to needing new version of BMisc
Fixed bug related to plotting with no pre-treatment periods
Improved ways to easily plot aggregated treatment effect parameters
Added some error handling for some cases with small group sizes, and fixed some cryptic error messages
Fixes handling for data being in format besides data.frame (e.g. tibble)
Add warnings about small group sizes which are a very common source of trouble
fixed issues between BMisc and formula.tools
added point estimates for repeated cross sections data
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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