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hese slides attempt to explain machine learning to empirical economists familiar with regression methods. The slides cover standard machine learning methods for prediction such as k-fold cross-validation, lasso, regression trees and random forests. The slides conclude with some recent econometrics research that incorporates machine learning methods in causal models estimated using observational data, specifically (1) IV with many instruments, (2) OLS in the partial linear model with many controls, and (3) ATE in heterogeneous effects model with many controls.
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