Course Schedule

Full course syllabus is here.

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	James et al., section 2.1 (pp. 15-29)	Reading Quiz
27	Thu Dec 3	Machine Learning for Causal Modeling		Work on Referee Report & Presentation
28	Tue Dec 8	Presentations		Presentation
29	Thu Dec 10	Presentations		Presentation, Referee Report
---	Mon Dec 14	Final Exam (Referee Report due)		Research Proposal