| SES # | TOPICS | KEY DATES |
|---|---|---|
| 1 | Intro; Choosing Projects, Modeling Process, Selecting Stock Variables | |
| 2 | Model Analysis Process; Equilibrium | Homework 1 due |
| 3 | Model Replication and Analysis |
Group Presentations: Literature and data sources, qualitative model Homework 2 due Tutorial Topic Selection due |
| 4 | Formulations: Allocation, Coflows | Group Presentations: Literature and data sources, qualitative model |
| 5 | Useful functional forms, Subscripts, Data Connections | Group Presentations: Quantitative Model, First Version |
| 6 | Process Noise, Sensitivity and Monte Carlo Simulation | Group Presentations: Quantitative Model, First Version (cont.) |
| Spring Break | Tutorial Submission due | |
| 7 | Optimization (deterministic and stochastic) | Group Presentations: Quantitative Model, Second Version |
| 8 | Calibration (Maximum Likelihood and simulated method of moments) |
Group Presentations: Quantitative Model, Second Version (cont.) Tutorial Evaluation due |
| 9 | Calibration (Kalman Filtering and confidence intervals) | Group Presentations: Model calibration and analysis |
| 10 | Dynamic Control and Games | Group Presentations: Model calibration and analysis (cont.) |
| 11 | Advanced Model Analysis Techniques | Group Presentations: Analysis and insights |
| 12 | Modeling that Matters; Final notes | Group Presentations: Analysis and insights (cont.) |
| – | No class meeting | Final Project Report Submission due |
| – | No class meeting (cont.) |
Final Project Evaluation due Team Member Evaluation due |