2016 Q4 Macroeconomics (Kobe Univ.) 🔗

Syllabus 🔗

• 16MA4A: Syllabus

Lecture Notes, Problem Sets 🔗

• 16MA4B: Problem Set
• 16MA4a: Simulation of the Solow model
  • R Notebook
• 16MA4b: Convergence
  • R Notebook
• 16MA4-Mid: Take-home exam
  • Due on 13 January, 2017

Presentation Files 🔗

• Day 01
• Day 05
  • Source
• Day 06
  • Source
• Day 07
• Day 08
  • Source
• Day 09
  • Source
• Day 10
• Day 11
• Day 12
• Day 13
• Day 14

Supplementary Materials 🔗

• Computation of Optimal Growth based on Euler Equation
  • PDF or HTML
• Computation of Optimal Growth based on Dynamic Programming
  • PDF or HTML

RStudio 🔗

To run Rmd files above and to compile (knit) them to pdf or other document format, install RStudio > 1.0.

R Resources 🔗

If you are new to R and RStudio, or more generally to programing languages, the following short online material by Jenny Bryan is a good starting point. It will help you streamline your daily workflow. It is important in particular to understand the concept of “working directory” from the earliest stage of your learning.

• R basics, workspace and working directory, RStudio projects by Jenny Bryan

Need a more comprehensive guidebook? Here is a website I’d recommend:

• R for data science by Garrett Grolemund and Hadley Wickham

Because of my intensive using of functions and operators defined in dplyr and tidyr, my codes might look obscure for those who learned R years back and haven’t updated their coding style, and for those who don’t have background in (relational) database systems. Chapter 5 of Grolemund and Wickham will help.