Open pbstark opened 9 years ago
Add random forests and perhaps neural networks, "deep learning," or something similar to the simulation comparisons based on Hainmueller (2011)
I added random forests and linear regression on polynomial predictors (better in-sample fit, if we aren't worried about overfitting). Need to play with the tuning parameters.
Add random forests and perhaps neural networks, "deep learning," or something similar to the simulation comparisons based on Hainmueller (2011)