New Estimators Improve Accuracy of Partially Linear Models with Nonparametric Endogeneity.
The article examines different ways to estimate models in statistics. By using computer simulations, the researchers found that certain estimators are better at handling complex data than others. Specifically, the estimators ˆ m(x) and p were more efficient than ˜ m(x) and wp. This means that the proposed estimators are better at predicting outcomes in real-world situations.
