EVENTDD: Stata module to panel event study models and generate event study plots
Damian Clarke () and
Kathya Tapia Schythe ()
Additional contact information
Kathya Tapia Schythe: Universidad de Santiago de Chile
Statistical Software Components from Boston College Department of Economics
eventdd estimates a panel event study corresponding to a difference-in-difference style model where a series of lag and lead coefficients and confidence intervals are estimated and plotted. These lag and lead coefficients are all relative to the passage of an event of interest, which can occur at different moments in different units of the panel. eventdd produces panel event study graphs as well as standard regression output. As well as standard inference procedures, eventdd allows for non-standard inference techniques, such as wild-bootstrapped standard errors (interacting with the user-written boottest command).
Requires: Stata version 13 and reghdfe, boottest and matsort from SSC (q.v.)
Keywords: event study; difference-in-difference; graphics (search for similar items in EconPapers)
Date: 2020-02-23, Revised 2021-01-01
Note: This module should be installed from within Stata by typing "ssc install eventdd". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations: View citations in EconPapers (3) Track citations by RSS feed
Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/e/eventdd.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/e/eventdd_estat.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/e/eventdd.sthlp help file (text/plain)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s458737
Ordering information: This software item can be ordered from
Access Statistics for this software item
More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().