| 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, 10.1-10.2; Smith, p. 1 |
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 |
Fu, Grau and Rivera (2020), Lang and Palacios (2018) |
Reading Quiz |
| 17 |
Tue Oct 20 |
Subjective Expectations, Stated Preference and Choice Experiments |
Train, 7.2-7.3; Koşar, Ransom and van der Klaauw (2020), section 3.3 |
Reading Quiz |
| 18 |
Thu Oct 22 |
Measurement Error & Factor Models |
Heckman, Stixrud and Urzua (2006) |
Reading Quiz |
| --- |
Tue Oct 27 |
No class (Snow Day) |
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| 19 |
Thu Oct 29 |
Coding Day - go over PS 8 |
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PS 8 |
| --- |
Tue Nov 3 |
No class (Election Day) |
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| 20 |
Thu Nov 5 |
Learning models |
Miller (1984) |
Take-home Midterm |
| 21 |
Tue Nov 10 |
Constrained optimization and equilibrium models |
Start finding a paper for presentation/referee report |
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| 22 |
Thu Nov 12 |
Obtaining causal effects without an "identification strategy" |
Altonji, Elder & Taber (2005) |
Reading Quiz |
| 23 |
Tue Nov 17 |
DAGs and do-Calculus |
Mixtape, pp. 67-80 |
Reading Quiz |
| 24 |
Thu Nov 19 |
Potential Outcomes, ATE, LATE, and Control Functions |
Mixtape, pp. 85-93 |
Reading Quiz |
| 25 |
Tue Nov 24 |
Marginal and Distributional Treatment Effects |
Work on Referee Report & Presentation |
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| --- |
Thu Nov 26 |
No class (Thanksgiving) |
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| 26 |
Tue Dec 1 |
Intro to Machine Learning |
James et al., section 2.1 (pp. 15-29) |
Reading Quiz |
| 27 |
Thu Dec 3 |
Machine Learning for Causal Modeling |
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Work on Referee Report & Presentation |
| 28 |
Tue Dec 8 |
Presentations |
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Presentation |
| 29 |
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 |
