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fall-2020's Introduction

Course Schedule

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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
19 Tue Oct 27 Coding Day - go over PS 8 PS 8
20 Thu Oct 29 Midterm Exam (in class)
--- Tue Nov 3 No class (Election Day)
21 Thu Nov 5 Causal Modeling: DAGs and Potential Outcomes Mixtape Reading Quiz
22 Tue Nov 10 Overview of Reduced-form Causal Inference Techniques Mixtape Reading Quiz
23 Thu Nov 12 Regression and Partial identification Krauth (2016), Oster (2019) PS 9
24 Tue Nov 17 ATE, LATE, MTE Reading Quiz
25 Thu Nov 19 Treatment Effect Heterogeneity Reading Quiz
26 Tue Nov 24 Intro to Machine Learning Reading Quiz
--- Thu Nov 26 No class (Thanksgiving)
27 Tue Dec 1 Machine Learning for Causal Modeling Reading Quiz
28 Thu Dec 3 Matrix Completion Methods (Time permitting) Reading Quiz
29 Tue Dec 8 Presentations Presentation
30 Thu Dec 10 Presentations Presentation, Referee Report
--- Mon Dec 14 Final Exam (Referee Report due) Research Proposal

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