Recent Advances in Difference-in-Differences
Jonathan Roth
July 28th, 2023, 9am-1pm, Online Via Zoom
Please join as we resume the 2023 PDHP workshop series on Friday, July 28th with “Recent Advances in Difference-in-Differences”, presented by Jonathan Roth of Brown University. This half-day workshop builds upon our January workshop covering DiD (although that is not a prerequisite), and is geared toward researchers and data analysts of all skill levels. This workshop will cover the current state-of-the-art in the DiD field, including discussion around testing for pre-tends, and new tools for research settings where parallel trends can not be assumed, while also providing hands-on practice with the latest tools using R & Stata. As always, this workshop is free and open to the public.
Topics covered:
- Overview of the current state-of-the-art in DiD
- Advantages and limitations of testing for pre-trends
- New tools for settings where parallel trends can not be assumed
- Coding exercises using new tools in R and Stata
Video:
View the video of the workshop here (NOTE: requires you to login into Zoom)
Slides & Lab Materials:
Preliminary materials are currently hosted on the presenter’s Github page.
Recommended Software:
The workshop will provide examples in R and Stata, as configured below:
––R Studio (strongly recommended)
––R packages can be installed using the following code:
# install R packages (Diff-In-Diffs packages)
install.packages(c("did","dplyr","bacondecomp","fixest","here","haven"))
––Stata will rely on some user-written packages that can be installed as shown:
*install Stata user-written packages
ssc install csdid
ssc install drdid
ssc install reghdfe