Course Schedule

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	TBA	Reading Quiz
15	Tue Oct 13	Coding Day - go over PS 7		PS 7
16	Thu Oct 15	Model Fit, Counterfactuals, Model validation	TBA	Reading Quiz
17	Tue Oct 20	Midterm Exam
18	Thu Oct 22	Causal Modeling: DAGs and Potential Outcomes	Mixtape
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		PS 8
22	Thu Nov 5	Regression and Partial identification	Krauth (2016), Oster (2019)	PS 9
23	Tue Nov 10	ATE, LATE, MTE
24	Thu Nov 12	ATE, LATE, MTE
25	Tue Nov 17	Treatment Effect Heterogeneity
26	Thu Nov 19	Treatment Effect Heterogeneity
27	Tue Nov 24	Machine Learning for Causal Modeling
---	Thu Nov 26	No class (Thanksgiving)
28	Tue Dec 1	Matrix Completion Methods
29	Thu Dec 3	Other Machine Learning Causal Methods
30	Tue Dec 8	Presentations		Presentation
31	Thu Dec 10	Presentations		Presentation, Referee Report
---	Mon Dec 14	Final Exam (Referee Report due)		Research Proposal