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approach in cluster sample notes, although we did not explicitly introduce a time dimension.) One way to view the uncertainty introduced in the DL framework – and a perspective explicitly taken by ADH – is that our analysis should better reflect the uncertainty in the quality of the control groups. Issue: In the standard DD and DDD cases, the policy effect is just identified in the sense that we do not have multiple treatment or control groups assumed to have the same mean responses. So, the DL approach does not allow inference. Example from Meyer, Viscusi, and Durbin (1995) on estimating the effects of benefit generosity on length of time a worker spends on workers’ compensation. MVD have the standard

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