AQRM part 2: causal analysis when endogeneity likely 0.0 / 5 ? Economicsresearch methodsUniversityAll boards Created by: charlieCreated on: 21-05-17 15:04 54231 Across 1. (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) Down 2. IV assigned randomly as easier to defend exogeneity assumption (2, 13) 3. 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) 4. F-stat (2, 9, 4, 2) 5. observe 2 groups over time (treatment/comparison)/ comparison is different from treatment + untreated in both periods/ treatment experiences policy change (4, 2, 4, 8)
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