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