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MeltedSnowMan

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  1. If you look at the ongoing research, a lot of interest and focus has been recently dedicated to causal inference in high dimensional settings. Top authors in this field at the moment are Viktor Chernozhukov (MIT), Athey and Wager (Stanford), Alexandre Belloni (Duke). Athey's husband, Guido Imbens, has also written one of the best book out there in causal inference (published with Rubin, who developed the potential outcome framework) and is also at Stanford, so I would definitely encourage you to apply to their econ phd. Not only this research is rather fresh and tries to leverage modern machine learning techniques, it also lacks a lot of empirical applications using those techniques and there is still a lot of ground for extending the current theoretical results (that's what these authors are actually doing atm). Berkeley is a good choice too, they recently hired one of Chernozhukov's students I believe.
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