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Often abbreviated DID or DD, this is a technique for inferring causality from observational data. It involves comparing measurements before and after a treatment occurs (hence, the growth rate) in both a group that received the treatment, and an otherwise comparable group that did not.

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Difference in Difference vs repeated measures

Summary In general, the DiD analysis is mathematically identical to the interaction term from the repeated measures analysis. If any of that is confusing, or you'd like more explanation, or you want …
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