DID (also abbreviated DD) stands for "difference in differences". It is a technique for inferring causality from observational data. DID involves comparing measurements before and after a treatment in both a group that received the treatment, and a group that did not.
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What if only control variables are significant in a differences-in-differences analysis?
Regarding the standard DID model:
$$
y=\alpha+\beta_1\text{treat}+\beta_2\text{post}+\beta_3\text{treatâ‹…post}+u
$$
What exactly does it mean if say $\beta_3$ is not statistically significant, but ...
