Beyond Prediction: Machine Learning for Estimation in Economics

Speaker(s) Type Length Chair
Elena Manresa Yusuke Narita Stephen Hansen Invited
16:30
120
mins
Stephen Hansen

Economists have increasing access to high-dimensional and unstructured datasets, which require statistical and computational tools from machine learning to handle effectively. But such tools were not originally designed for statistical inference, which is the primary concern of empirical economists. This session focusses on how to re-purpose machine learning methods for estimating econometric models

Papers

(Listed in order of speakers above)

An Adversarial Approach to Structural Estimation

Machine Learning is Natural Experiment

Textpertise