Tools & Techniques for Computational Economics
-
Updated
Jun 13, 2024 - Jupyter Notebook
Tools & Techniques for Computational Economics
Julia language course for economists by Florian Oswald
website for numerical methods course by Florian Oswald
Bc-MSc-PhD in Economics lectures, assignments, projects, data, and code
Equilibrium Models
Dynamic Programming Squared
Dynamic Linear Economies
Introduction to Economic Dynamics
"Foundations of Computational Economics" course by Fedor Iskhakov
This code was part of a research project. It simulates economic dynamics in the food delivery industry, which is a two-sided digital platform industry subject to strong network effects and therefore non-linear complex dynamics. Check out presentation slides for detailed info about the scientific background.
Research on Risk and Returns to education
Collection of published papers that estimate dynamic programming models
Decision making in multi-agent systems when agents have multiple choices and are connected with other agents according to a specific social network.
Fork from Graduate Empirical Industrial Organization by Chris Conlon
Identification of strategies under coordination game and social networks
This repository contains various notebooks related to economic models, topics, and tools.
Some jupyter-notebook for computational economics and finance class in PHBS
Fork of Computational Macro course by Jesse Perla
Teaching materials from DSE2019 summer school at Chicago Booth
A Python version of Miranda and Fackler's CompEcon toolbox
Add a description, image, and links to the computational-economics topic page so that developers can more easily learn about it.
To associate your repository with the computational-economics topic, visit your repo's landing page and select "manage topics."