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Course materials for ECON546

Get a GitHub ID and use GitHub directly. Consider clicking Watch at the top of this repository to see file changes

Syllabus

See Syllabus for more details

Lectures

We will use a combination of typed lecture notes, and QuantEcon Lecture Notes

  1. January 3rd - Deterministic Difference Equations and maybe starting Linear Models
  2. January 8th - Linear Models
  3. January 10th - Julia Review Session
  4. January 15th - Finish Linear Models and Additional Examples and start Linear Quadratic Control
  5. January 17th - Linear Quadratic Control
  6. January 22nd - Solving stochastic difference equations in Dynare and Julia
  7. January 24th - Rational and Adaptive Expectations and Global and Local Solutions
  8. January 29th - Finish Global and Local Solutions
  9. January 31th - Real Business Cycles and start Monopolistic Competition
  10. February 5th - Monopolistic Competition and maybe start Money in Utility
  11. February 7th - Money in Utility
  12. February 12th - University Holiday
  13. February 14th - Money in Utility
  14. February 26th- Dynamics of Money in Utility and Nominal Frictions
  15. February 28th - Nominal Frictions
  16. March 5th - Finish Nominal Frictions
  17. March 7th - New Keynesian Model
  18. March 12th - Finish New Keynesian Model and Optimal Policy
  19. March 14th - Assignment 2 and Assignment 3 review
  20. March 19th - Optimal Policy
  21. March 21st - Monetary Search
  22. March 26th - Empirical PhD presentations/Tutorial
  23. March 28th - Tutorial and Assignment 4 review
  24. April 4th - Financial Crisis

Problem Sets

See Submitting Assignments for details on how to submit code, and how to name the files.

  1. Due January 31st - Assignment 1
  2. Due February 16th - Assignment 2
  3. Due March 5th - Assignment 3
    • The algebra/theory components can be handed in separately on paper.
  4. Due March 23rd - Assignment 4
  5. Due April 9th - Referee Report
  6. Due April 14th - Assignment 5
    • Entirely theoy, can hand in on paper
  7. Due April 23th - Assignment 6

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  • Jupyter Notebook 100.0%