We have discussed the following causal inference methods in class
• Randomized experiments
• Estimation under unconfoundedness using matching and propensity score weighting • Instrumental variables
• Difference-in-differences
• Synthetic control
• Regression discontinuity This assignment is about exploring how the estimators perform under different data generating processes (DGPs). Specifically, pick two or three estimators and do the following for each estimator:
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