Inference in Partially Linear Models under Dependent Data with Deep Neural Networks

Chad Brown

I consider inference in a partially linear regression model under stationary ${\hat{I}}^2$-mixing data after first stage deep neural network (DNN) estimation. Using the DNN results of Brown…