Estimation under unconfoundedness using matching and propensity score weighting

economics

Description

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:

Instruction Files

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