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Week 13: Dynamics and Endogeneity | Video 6: Control Function Model
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Week 9: Generalized Extreme Value Models | Video 1: Nested Logit
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Foundations of Demand Estimation in IO
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Week 13: Dynamics and Endogeneity | Video 1: Static Models with Panel Data
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Probit and Logit Models
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Practical Issues in Structural Estimation
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Gaussian Processes
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Rough volatility: An overview by Jim Gatheral
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GMM (Generalized Method of Moments) Explained
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2012 Methods Lecture, Ariel Pakes, "The Primitives of Static Demand Models"
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Markov Switching Models | Switching Models in Econometrics, Part 1
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Week 11: Simulation-Based Estimation | Video 1: Simulated Choice Probabilities
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Double Machine Learning for Causal and Treatment Effects
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Statistical Rethinking 2026 - Lecture A01 - Introduction to Bayesian Workflow
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Causal Inference -- 13/23 -- Regression Discontinuity Basics
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Causal Inference -- 9/23 -- Heckman Selection Model
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Bayesian Optimization
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Week 6: Maximum Likelihood Estimation | Video 1: Maximum Likelihood Overview
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Random Projection Estimation of Discrete-Choice Models with Large Choice Sets
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