Class | Date | Topics to Cover | Pre-class reading | Due |
---|---|---|---|---|
1 | Tue Aug 25 | Course Intro/Productivity/Computational Tools | Julia reference slides | |
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 | PS 2 | |
6 | Thu Sep 10 | GEV | Train, 4.1-4.2 | Reading Quiz |
7 | Tue Sep 15 | Coding Day - go over PS 3 | 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 | PS 4 | |
10 | Thu Sep 24 | Dynamic choice models | Rust (1987) | Reading Quiz |
11 | Tue Sep 29 | Coding Day - go over PS 5 | 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 | 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 | 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) | ||
19 | Thu Oct 29 | Coding Day - go over PS 8 | PS 8 | |
--- | Tue Nov 3 | No class (Election Day) | ||
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 | |
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 | |
--- | Thu Nov 26 | No class (Thanksgiving) | ||
26 | Tue Dec 1 | Intro to Machine Learning | Reading Quiz | |
27 | Thu Dec 3 | Machine Learning for Causal Modeling | Reading Quiz | |
28 | Tue Dec 8 | Presentations | Presentation | |
29 | Thu Dec 10 | Presentations | Presentation, Referee Report | |
--- | Mon Dec 14 | Final Exam (Referee Report due) | Research Proposal |
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