- Syllabus (2015)
- Friedman’s (1953) Methodology paper
Lecture Handouts
- Lecture 1: Introduction
- Lecture 2: Balanced Growth, Preferences and Technology
- Lecture 3: Utility Functions; 3 Key Parameters in Macro
- Lecture 4: Dynamic Programming; Introduction and Basic Algorithms
- Lecture 5: Function Interpolation
- Lecture 6: Integration
- Lecture 7: Misc. Tools
- Lecture 8: Optimization
To be added:
- Lecture 9: GE with Heterogeneity 1 (Krusell-Smith and variants)
- Lecture 10: GE with Heterogeneity 2 (Bells and Whistles)
- Lecture 11: Calibrating/Estimating Structural Models: Simulation-based Estimation; Indirect Inference
- Lecture 12: Higher-Order Moments in Data and in Models: A Primer
- Lecture 13: Policy analysis, Welfare, Impulse responses, and various decompositions
