{ "media_type": "text", "post_content": "Nobel in econ just got awarded to folks doing causality research (and labor market stuff). If you're not already in the loop on the whole causality business, worth reading up. Why it should matter to you, firm, and clients: causal models are good for attribution ($$$), are more robust when repurposed (aka always), and natively explain model scores.\n\nFor a technical overview, I recommend Imbens's paper comparing potential outcomes and DAGS (https://arxiv.org/abs/1907.07271), and Pearl's rebuttal (link in comment).", "post_id": "6164aaa1dda1da0027d4385c", "reply_count": 1, "vote_count": 4, "bowl_id": "5ace5097be6e660013abcc42", "bowl_name": "Data & Analytics Consultants", "feed_type": "bowl" }
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Pearl's rebuttal to Imbens's paper http://causality.cs.ucla.edu/blog/index.php/2020/01/29/on-imbens-comparison-of-two-approaches-to-empirical-economics/

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