If anyone is interested in something other than shitting on economics...
The other half of the article seems interesting. Does anyone have handy references (besides the Athey and Varian papers in the article) to how machine learning is being used to establish causation rather than focusing on prediction? I've heard several places that there have been big strides lately in this area, but I'm not sure where to look.
Here's a link to the slides that she used for the NBER talks. I've flipped through them and there seems to be some references to working papers (that Googling should be able to surface):
The other half of the article seems interesting. Does anyone have handy references (besides the Athey and Varian papers in the article) to how machine learning is being used to establish causation rather than focusing on prediction? I've heard several places that there have been big strides lately in this area, but I'm not sure where to look.