1/ Happy to share that "Factorial Difference-in-Differences" (FDID), with Anqi Zhao and
@pengding00
, is out in JASA - ACS. doi.org/10.1080/0162...
It has been a truly thrilling experience working with Anqi and Peng.
We formulate factorial difference-in-differences (FDID), a research design that extends canonical difference-in-differences (DID) to settings in which an event affects all units. In many panel data...