Advanced Econometrics: Theory of Machine Learning Methods

Catalog description

The course provide modern tools and papers relevant to big data in econometrics. The aim of the course will be a)provide the necessary toolbox b) go over the main proofs in the big data literature c) analyze some papers. The main topics will be high dimensional inference, moderate self deviation, Neyman orthogonality, approximate means, multiplier bootstrap, and deep learning.