The key step in SDID is to findunit weights($\omega_i$) that ensure that the comparison is made between treated units and controls which approximately follow parallel trends prior to the treatments and findtime weights($\lambda_t$) that draw higher weights from pre-treatment periods which ar...
If it is not kosher to post follow-up questions on the same thread, please let me know and I will re-post as new questions. Otherwise, my follow-up questions are below. The short version is, what's the difference between -blogit- and -logit-? Or, more accurately, in the context ...
> > The short version is, what's the difference between -blogit- and > -logit-? Or, more accurately, in the context of grouped data, which > standard error estimate is correct? > > If, after using Austin's example, I run the following: > > logit union t south txsouth [pw=f]...