In causal inference, synthetic controls are a class of methods where the quasi-experimental control group is synthesized from a weighted average of potential control units. The method is often used to evaluate treatment effects in scenarios where only one or a small number of units are treated.
In causal inference, synthetic controls are a class of methods where the quasi-experimental control group is synthesized from a weighted average of potential control units. The method is often used to evaluate treatment effects in scenarios where only one or a small number of units are treated.
Source: Wikipedia "Synthetic control method" · CC BY-SA 4.0
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