0
$\begingroup$

I'm doing a Difference in Differences exercises on 32 regions within a country to test for the effect of a policy intervention.

However, only 1 of those regions has been subject to the intervention; the other 31 have not.

I've read that inference is problematic when there is only one treated cluster, but I have not fully understood if there is a best practice or a consensus in the treatment-effects literature as to how to deal with the case of many clusters but few treated ones.

Any advice or literature links appreciated.

$\endgroup$
  • $\begingroup$ Difference in differences is not the best analysis for this. Look into synthetic control, which was designed specifically for this circumstance. $\endgroup$ – Noah Oct 6 at 5:39

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.