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 in simulations.
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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 in simulations.