Complexity Economics - Theory and Computational Methods

Summer course during the Pluralist Summer Academy 2017 in Neudietendorf

Lecturers: Claudius Grabner (Johannes Kepler University Linz) and Torsten Heinrich (Oxford University).

Here we provide you with all the materials associated with the course. Python code (example code and the solutions to the exercises) can be found at the GitHub repository of the course. Note that the site and particularly the repository will be updated regularly. For any queries you may contact Claudius or Torsten directly.

You can also download the complete set of material as a zip file

Meta-Theory and History of Complexity Economics

Slides

Introduction to Network Theory

Lectures

Slides

Script (August, 31)

The script is currently in a very preliminary state and will be updated from time to time. Also note that the script is more extensive than the material contained in the slides.

Lab on networks

Example graph (GML)

Exercise sheet

Exercise sheet (solved)

The solutions to the exercises, together with some example code, are in the GitHub repository of the course.

Dynamics

Labs on dynamics

Lab exercise - Lab exercise - Solow model

Lab exercise - Predator-Prey

The solutions to the exercises, together with some example code, are in the GitHub repository of the course.

Empirics and power laws

Lecture slides (by Torsten)

Agent-based modeling

Lab session

Lab exercise - Technology Choice

Lab exercise - Desease models and networks