Greetings from the American Geophysical Union annual meeting, virtually of course. Climate science is starting to use machine learning (ML) to find good auxiliary models for indirect inference estimation of structural climate models. (Never mind that climate science has never heard of indirect inference!) The use of ML to obtain sophisticated auxiliary models parallels the recent beautiful structural econometric work of Kaji, Manresa, and Pouliot. A nice Manresa seminar video with discussion is here.
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