ECON8026 Advanced Macroeconomic Analysis

Lecture Notes

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• 1. About This Course
  • 1.1. What will we study?
  • 1.2. How do we do it?
• 2. A Brief History
• 3. Economies as Dynamical Systems
  • 3.1. Reduced-form representation
  • 3.2. Recursive maps by example
  • 3.3. Linear stochastic difference equation systems
  • 3.4. Postscript
• 4. Keynesian Business Cycles and Policy
  • 4.1. Cartoon theorizing
  • 4.2. Learning the nuts and bolts
  • 4.3. Caveat emptor
• 5. Economic Growth
  • 5.1. Empirical Regularities
  • 5.2. Population Growth
    • 5.2.1. Technology
    • 5.2.2. Saving
    • 5.2.3. Characterizing Solution
    • 5.2.4. Technology and equilibrium
  • 5.3. Decentralized Economy
  • 5.4. Exogenous Growth
  • 5.5. Golden Rule
• 6. Heterogeneity and Redistribution
  • 6.1. Diamond-Samuelson OLG model
  • 6.2. Fiscal Policy and OLG
  • 6.3. Money and Inflation Control
  • 6.4. Money and Banking
  • 6.5. A taster of business cycles modelling
• 7. A Quick Tutorial in Python Tools
  • 7.1. Getting started
  • 7.2. Data Types
    • 7.2.1. Floats
    • 7.2.2. Integers
    • 7.2.3. Boolean
    • 7.2.4. Strings
  • 7.3. Python Lists, Indexing and Slicing
  • 7.4. Python dictionaries
  • 7.5. NumPy and SciPy libraries
    • 7.5.1. NumPy Lists, Indexing and Slicing
  • 7.6. Plotting with MATPLOTLIB
  • 7.7. Useful Python and Numpy functions
  • 7.8. Conditionals
  • 7.9. Loops
  • 7.10. Statistics
  • 7.11. More Python resources for the economist