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requires unconfoundedness in the levels, and as dominated by the basic DD estimate from ΔYi on 1, Wi Regression adjustment can also be used, as in HIST (1997). 6. Synthetic Control Methods for Comparative Case Studies Abadie, Diamond, and Hainmueller (2007) argue that in policy analysis at the aggregate leve, there is little or no estimation uncertainty: the goal is to determine the effect of a policy on an entire population, and the aggregate is measured without error (or very little error). Application: California’s tobacco control program on state-wide smoking rates. ADH focus on the uncertainty with choosing a

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