The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
fe_var
argument now supports additive notation
(firm_id + year
) instead of character vectors.plot_es()
efficiency and documentation.fe
notation.This version introduced several enhancements and refinements to improve usability and maintainability.
outcome_var
, treated_var
, and
time_var
are now processed using
rlang::ensym()
for better robustness.fe_var
and cluster_var
handling improved
for more reliable column referencing.plot_es()
function:
relative_time
, estimate
, etc.) are
present.baseline
handling could lead
to incorrect sorting of lead/lag terms.This is the first release of the fixes
package,
providing tools for estimating and visualizing event study models with
fixed effects.
run_es()
: A function to estimate event
study models using fixest::feols()
, generating lead and lag
variables automatically.
fe_var
as
character vector).cluster_var
.interval
argument.plot_es()
: A function to visualize
event study results with ggplot2.
type = "ribbon"
, default).type = "errorbar"
).fixest::feols()
.interval
argument).c("firm_id", "year")
)."state_id"
).fe_var
.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.
Health stats visible at Monitor.