Google's paper markets BSTS's benefits over DID such that

"In contrast to classical difference-in-differences schemes, state-space models make it possible to (i) infer the temporal evolution of attributable impact, (ii) incorporate empirical priors on the parameters in a fully Bayesian treatment, and (iii) flexibly accommodate multiple sources of variation, including the time-varying influence of contemporaneous covariates, i.e., synthetic controls."

What are other pro-and-cons of the methods?

  • 1
    $\begingroup$ It depends on the context: Pros and cons when considering these techniques in order to do what? Is there a particular problem you're trying to solve? $\endgroup$ – TinaW Aug 27 '18 at 12:42
  • $\begingroup$ @tinaw generally interested. $\endgroup$ – hhh Aug 27 '18 at 18:20

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