| 1 |
Tue Aug 25 |
Course Intro/Productivity/Computational Tools |
Julia reference slides |
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| 2 |
Thu Aug 27 |
What is structural modeling? |
Lewbel (2019 ) Sections 1, beginning of Section 5, and 5.1 |
Reading Quiz |
| 3 |
Tue Sep 1 |
Structural modeling process |
Keane YouTube talk |
PS 1 |
| 4 |
Thu Sep 3 |
Random Utility Models & Logit |
Train, Ch. 1-2, 3.1-3.3, 3.7-3.8 |
Reading Quiz |
| 5 |
Tue Sep 8 |
Coding Day - go over PS 2 |
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PS 2 |
| 6 |
Thu Sep 10 |
GEV |
Train, 4.1-4.2 |
Reading Quiz |
| 7 |
Tue Sep 15 |
Coding Day - go over PS 3 |
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PS 3 |
| 8 |
Thu Sep 17 |
Mixed Logit, Finite mixture models, EM algorithm |
Train, 6.1-6.3, Ch. 14 |
Reading Quiz |
| 9 |
Tue Sep 22 |
Coding Day - go over PS 4 |
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PS 4 |
| 10 |
Thu Sep 24 |
Dynamic choice models |
Rust (1987) |
Reading Quiz |
| 11 |
Tue Sep 29 |
Coding Day - go over PS 5 |
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PS 5 |
| 12 |
Thu Oct 1 |
Estimating dynamic models without solving |
Hotz & Miller (1993); Arcidiacono & Miller (2011) |
Reading Quiz |
| 13 |
Tue Oct 6 |
Coding Day - go over PS 6 |
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PS 6 |
| 14 |
Thu Oct 8 |
Simulated Method of Moments |
Train, 10.1-10.3 |
Reading Quiz |
| 15 |
Tue Oct 13 |
Coding Day - go over PS 7 |
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PS 7 |
| 16 |
Thu Oct 15 |
Model Fit, Counterfactuals, Model validation |
TBA |
Reading Quiz |
| 17 |
Tue Oct 20 |
Midterm Exam |
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| 18 |
Thu Oct 22 |
Causal Modeling: DAGs and Potential Outcomes |
Mixtape |
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| 19 |
Tue Oct 27 |
Overview of Reduced-form Causal Inference Techniques |
Mixtape |
Reading Quiz |
| 20 |
Thu Oct 29 |
Measurement Error & Factor Models |
Heckman, Stixrud and Urzua (2006) |
Reading Quiz |
| 21 |
Tue Nov 3 |
Coding Day - go over PS 8 |
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PS 8 |
| 22 |
Thu Nov 5 |
Regression and Partial identification |
Krauth (2016), Oster (2019) |
PS 9 |
| 23 |
Tue Nov 10 |
ATE, LATE, MTE |
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| 24 |
Thu Nov 12 |
ATE, LATE, MTE |
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| 25 |
Tue Nov 17 |
Treatment Effect Heterogeneity |
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| 26 |
Thu Nov 19 |
Treatment Effect Heterogeneity |
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| 27 |
Tue Nov 24 |
Machine Learning for Causal Modeling |
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| --- |
Thu Nov 26 |
No class (Thanksgiving) |
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| 28 |
Tue Dec 1 |
Matrix Completion Methods |
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| 29 |
Thu Dec 3 |
Other Machine Learning Causal Methods |
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| 30 |
Tue Dec 8 |
Presentations |
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Presentation |
| 31 |
Thu Dec 10 |
Presentations |
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Presentation, Referee Report |
| --- |
Mon Dec 14 |
Final Exam (Referee Report due) |
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Research Proposal |
