Lecture 14: Canonical Research Designs II: Event Studies, Synthetic Control + Synthetic DinD
Lecture 14 from my Applied Metrics PhD Course. Materials here: https://github.com/paulgp/applied-met... Please note that I've cut out questions from students, so some of the cuts in the video might feel slightly disjointed!

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Lecture 15: Canonical Research Designs III: Instrumental Variables I

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Lecture 13: Canonical Methods I: Difference-in-Differences

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Lecture 9: Likelihood Methods 1: Discrete Choice, GLM and Computational Methods
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Data Modeling for Power BI [Full Course] 📊

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Unfortunately, You Need to Know What the Jevons Paradox is

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AlphaFold - The Most Useful Thing AI Has Ever Done

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Clara Mattei: capitalism is not natural - it’s enforced

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Lecture 16: Canonical Research Designs IV: Instrumental Variables II

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Susan Athey: Synthetic Difference in Differences

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The problem with pretending quantum mechanics makes sense | Sean Carroll

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The Strange Math That Predicts (Almost) Anything

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Training Sand to Think: Artificial General Intelligence & Future of Physics

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Pedro H.C. Sant'Anna "Difference-in-Differences with Multiple Time Periods"

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The Hardest Questions in Physics | World Science Festival

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Lecture 20: Canonical Research Designs VIII: RD I: Identification and Groundwork

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Andrew Goodman-Bacon “Difference-in-Differences with Variation in Treatment Timing”

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Lecture 21: Canonical Research Designs IX: RD II: The Checklist

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Lecture 3: Propensity Scores

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Synthetic control methods: Introduction & overview of recent developments - Dr Carl Bonander

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