- Added
honest_did
function to compute a sensitivity analysis using the approach of Rambachan and Roth (2021)
- Huge speedup with many fixed effects with the assist from @etiennebacher
- One line change sped-up big datasets something like 15x facepalm
- Add
ARMA_64_BIT
for larger matricies
- Added
estimator
argument toevent_study
and added vignette discussing the different estimators' assumptions - Fixed "seperate" argument typo in
plot_event_study
, which may break some previous code (#15)
-
Made code more robust by improving sparse model matrix creation
-
Rewrote covariance matrix creation to be faster and more robust
-
Improved block bootstrapping code using
boot::boot
-
Fixed Sun and Abraham bug in
event_study
, h/t Frederik Noack
-
Add
event_study
andplot_event_study
functions -
Seperated
did_imputation
to new packagedidimputation
-
Add
did_imputation
following Borusyak, Jaravel, and Spiess (2021) -
Speed up did2s
-
Use sparse matrices to use much less memory
-
Fix analytic standard errors when using weights
- Correct and robust standard errors