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AQM 2025
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Week 1: Introduction. OLS Recap.
Week 2: OLS in Matrix Form.
Week 3: OLS in Matrix Form and Probability Theory
Week 4: A first peek at Maximum Likelihood
Week 5: Maximum Likelihood Estimation and Heteroskedastic Regression
Week 6: Models for Binary Dependent Variables & Model Fit
Week 7: Interpretation and Simulation
Week 8: Ordered Choice Models & How to write a publishable Paper
Week 9: Multinomial Choice Models
Week 10: Conditional Logit Model I
Week 11: Selection Bias and Multi-Equation Models
Week 12: Multi-level Models
Week 13: Baby Bayes
Week 14: Student Presentations

Week 1: Introduction. OLS Recap.

Schedule of the Week

Date
Time
Item
Place
Material
Wed, Feb 11 8:30–10:00 Lecture A5, 6, B244
Thu, Feb 12 Lab (Domantas) B6, 23-25, A 103
Fri, Feb 13 Lab (Lisa) A5, 6, B143

Study Notes

Welcome back!

Readings

Course syllabus Required
Cunningham, Scott. Causal Inference - The Mixtape. Chapter 2. Required
Next
Week 10: Conditional Logit Model I

Last updated on 4 Feb 2026

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