Inferences about counterfactuals are essential for prediction, answering \"what if\" questions, and estimating causal effects. However, when the counterfactuals posed are too far from the data at hand
We evaluate whether a lack of guidance on how to choose the matching variables used in the Synthetic Control (SC) estimator creates specification-searching opportunities. We provide theoretical result
The various methodological techniques that fall under the umbrella description of qualitative comparative analysis (QCA) are increasingly popular for modeling causal complexity and necessary or suffic
