Posts Tagged ‘ Econometrics and Statistics ’

Machine Learning vs. Econometrics, I

October 2, 2016
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[If you're reading this in email, remember to click through on the title to get the math to render.]Machine learning (ML) is almost always centered on prediction; think "\(\hat{y}\)".   Econometrics (E) is often, but not always, centered on predic...

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Observed Info vs. Estimated Expected Info

June 23, 2016
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All told, after decades of research, it seems that Efron-Hinkley holds up -- observed information dominates estimated expected information for finite-sample MLE inference. It's both easier to calculate and more accurate. Let me know if you disagree.[Ef...

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Mostly Harmless Econometrics?

January 11, 2015
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I've had Angrist-Pischke's Mostly Harmless Econometrics: An Empiricist's Companion (MHE) for a while, but I just got around to reading it. (By the way, a lower-level follow-up was just published.)There's a lot to like about MHE. It'...

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A Mind-Blowing Optimal Prediction Result

September 29, 2014
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A Mind-Blowing Optimal Prediction Result

I concluded my previous post with:Consider, for example, the following folk theorem: "Under asymmetric loss, the optimal prediction is conditionally biased." The folk theorem is false. But how can that be?What's true is this: The conditional mean is th...

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Prelude to a Mind-Blowing Result

September 22, 2014
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A mind-blowing optimal prediction result will come next week. This post sets the stage.My earlier post, "Musings on Prediction Under Asymmetric Loss," got me thinking and re-thinking about the predictive conditions under which the conditional mean is o...

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Network Econometrics at Dinner

September 8, 2014
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At a seminar dinner at Duke last week, I asked the leading young econometrician at the table for his forecast of the Next Big Thing, now that the partial-identification set-estimation literature has matured. The speed and forcefulness of his answer -- ...

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Musings on Prediction Under Asymmetric Loss

August 25, 2014
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As has been known for more than a half-century, linear-quadratic-Gaussian (LQG) decision/control problems deliver certainty equivalence (CE). That is, in LQG situations we can first predict/extract (form a conditional expectation) and then simply plug ...

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Models Didn’t Cause the Crisis

August 19, 2014
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Some of the comments engendered by the Black Swan post remind me of something I've wanted to say for a while: In sharp contrast to much popular perception, the financial crisis wasn't caused by models or modelers.Rather, the crisis was c...

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The Black Swan Spectrum

August 4, 2014
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Speaking of the newly-updated draft of Econometrics, now for some fun. Here's a question from the Chapter 6 EPC (exercises, problems and complements). Where does your reaction fall on the A-B spectrum below?Nassim Taleb is a financial markets trader (a...

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