Machine Learning: What's in it for Economics

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source: BFIVideos 2016年10月30日

Economics and Probabilistic Machine Learning 1:06:05 David Blei of Columbia University opens the Becker Friedman Institute’s conference on machine learning in economics with an overview of how probabilistic machine learning techniques can be applied in economics.
Machine Learning: Inference for High-Dimensional Regression 54:54
Random Projection Estimation of Discrete-Choice Models with Large Choice Sets 36:38
Estimating Global Bank Network Connectedness 39:44
Prediction: Discussion 25:28
Double Machine Learning for Causal and Treatment Effects 39:30
Solving Heterogeneous Estimating Equations Using Forest Based Algorithms 41:50
Causal Inference: Discussion 27:55
Information Flow and Graph Structure in Online Social Networks 1:10:36
Measuring Polarization in High-Dimensional Data: Method and Application to Congressional Speech 41:45