Economics 413R

This is the main page for the content associated with Econ 413R. The table of contents for this course is below.

• Econ 413R (Boot Camp) Introduction
  • The Mission of the BYU-MCL
  • Macroeconomic Philosophy
  • Computational Focus
  • Great Books
  • Programming Languages and Protocols
    • Python over Matlab
    • Coding best practices
    • git and Bitbucket.org
    • LaTeX
  • The Best Students
    • The program is consistently successful
    • Hard work (not genius) is the necessary condition
    • Collaboration is an essential skill
    • Good things come to entrepreneurial students
    • Student Comments about Boot Camp
  • Let’s Get Started
  • References
• Overlapping Generations Models
  • Lecture Notes and Assignments
• Dynamic Stochastic General Equilibrium
  • Lecture Notes and Assignments
    • Documentation for Python Uhlig
• Perturbation Methods
  • Lecture Notes and Assignments
• Dynare
  • Lecture Notes and Assignments
• Simulated Method of Moments (SMM)
  • Lecture Notes and Assignments
• Distribution Families
  • Lecture Notes and Assignments
• Numerical Integration
  • Lecture Notes and Assignments
• Interpolation and Curve Fitting
  • Why would we need to approximate a function/fit a curve?
    • Local Approximation
    • Orthogonal Polynomials
    • Regression
    • Interpolation
  • B-Splines
    • Motivation
    • Theory
      • First Example
    • Constructing the B-Spline
      • Defining the Knot Vector
      • Defining the Basis Functions
    • Constructing a B-spline curve (interpolating)
      • Setting up the Problem
      • Solving for Coefficients
  • Conclusion
• Data filtering
  • Lecture Notes and Assignments
• SVAR and Bootstrapping
  • Lecture Notes and Assignments
• Parallel Computing
  • Lecture Notes and Assignments
• GPU Computing
  • Lecture Notes and Assignments
• Dynamic Programming
  • Lecture Notes and Assignments

To quickly look just at homework assignments and when they are do go to the Homework