Are Synthetic Control Weights Balancing Score?
Harsh Parikh

TL;DR
This paper explores conditions under which Synthetic Control weights function as balancing scores, effectively mimicking randomized control trials by balancing covariates when certain criteria are met.
Contribution
It establishes theoretical conditions where Synthetic Control weights serve as balancing scores, linking them to randomized trial emulation.
Findings
SC weights can be balancing scores under specific conditions
Exact identification of treatment effects is crucial
Boundedness of weights ensures emulation of randomized trials
Abstract
In this short note, I outline conditions under which conditioning on Synthetic Control (SC) weights emulates a randomized control trial where the treatment status is independent of potential outcomes. Specifically, I demonstrate that if there exist SC weights such that (i) the treatment effects are exactly identified and (ii) these weights are uniformly and cumulatively bounded, then SC weights are balancing scores.
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Taxonomy
TopicsAdvanced Causal Inference Techniques
