Using Instrumental Variable Analyses to Inform ... - The Lewin Group

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Outcome 0 1 2 3 4 Levels of Unobserved confounder
• Identify the profile of MTE over the entire support of the [1‐Pr(Trt Choice)] ~ scaled version of unobserved confounders at the margins • Compute ATE, TT, TUT and other policy effects by simple weighting of the MTEs. • Can identify situations where current data wont allow <strong>to</strong> estimate an ATE. • Can identify situations where complications due <strong>to</strong> heterogeneity can be ignored. Heckman and Vytlacil, 1999, 2000, 2001
Page 1 and 2: Anirban Basu, PhD The University of
Page 4 and 5: • Identify instrumental variables
Page 6 and 7: Outcome 0 1 2 3 4 Potential Outcome
Page 8 and 9: Outcome 0 1 2 3 4 Levels of Unobser
Page 14 and 15: Outcome 0 1 2 3 4 Effect of IV2 Eff
Page 16 and 17: • Mirrors control function and se
Page 20 and 21: MTE(UD) ( in $) -100000 0 100000 20
Page 23 and 24: V ( Z , X ) U E ( U )=0 D 1( V
Page 25 and 26: D 1( V 0) = = Let D 1( V 0) 1( U

Using Instrumental Variable Analyses to Inform ... - The Lewin Group

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