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AQM 2022
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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
Week 11: Selection Bias and Multi-Equation Models
Week 12: Multi-level Models
Week 13: Baby Bayes – a primer
Week 14: Student Presentations

Week 1: Introduction. OLS Recap.

Schedule of the Week

Date
Time
Item
Place
Material
Wed, Feb 16 8:30–10:00 Lecture A5,6 B244
Thu, Feb 17 10:15–11:45 Lab (Oliver) A5,6 B317
15:30–17:00 Lab (Viktoriia) Zoom

Readings

Course syllabus Required
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Week 14: Student Presentations
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Week 2: OLS in Matrix Form.

Last updated on 29 Mar 2022

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