(1) trend captures all relevant differences before + after cut-off (2) IV exogenous (after adjusting for running variable will ply affect Y through X) + (3) No other factors affecting D (other policies) (5, 2, 11)
F-stat (2, 9, 4, 2)
F-stat>10, 2SLS estimator will be closer to true parameter value (stronger for larger sample sizes) (2, 9, 6, 2)
IV assigned randomly as easier to defend exogeneity assumption (2, 13)
observe 2 groups over time (treatment/comparison)/ comparison is different from treatment + untreated in both periods/ treatment experiences policy change (4, 2, 4, 8)
only ST effect (other factors begin to affect after cut off)/ need large sample size (introduce range of other factors attributing to Y) (5, 2, 8)
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