REVIEW 1 cited by
An Improved and Extended Bayesian Synthetic Control
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
An improved and extended Bayesian synthetic control model is presented, expanding upon the latent factor model in Tuomaala 2019. The changes we make include 1) standardization of the data prior to model fit - which improves efficiency and generalization across different data sets; 2) adding time varying covariates; 3) adding the ability to have multiple treated units; 4) fitting the latent factors within the Bayesian model; and, 5) a sparsity inducing prior to automatically tune the number of latent factors. We demonstrate the similarity of estimates to two traditional synthetic control studies in Abadie, Diamond, and Hainmueller 2010 and Abadie, Diamond, and Hainmueller 2015 and extend to multiple target series with a new example of estimating digital website visitation from changes in data collection due to digital privacy laws.
Forward citations
Cited by 1 Pith paper
-
Bayesian Donor Set Selection in Synthetic Controls
A Gamma–Bernoulli hierarchical prior lets Bayesian synthetic controls select donors and put exact zeros on excluded units while staying on the simplex, with posterior consistency and better recovery of sparse donors i...
Discussion (0). Sign in to comment.