Skip to content

QUANTITATIVE ECONOMICS, by John Stachurski and Thomas J. Sargent

Notifications You must be signed in to change notification settings

sterlinm/quant-econ

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

43 Commits
 
 
 
 
 
 

Repository files navigation

Quantitative Economics

This repository collects all of the code for Quantitative Economics, an on-line course on quantitative economic modeling authored by John Stachurski and Thomas J. Sargent.

We recommend you start by visiting the lecture series main page, which provides detailed information on working with this code repository.

Downloading the Repository

Either

  • Click the 'Download ZIP' button on the right, or
  • Use Git to clone the repository

Browsing Program Files On-Line

You can browse all the files in the repository directly (without downloading) by clicking on the "programs" folder above.

About Git / GitHub

This code repository is hosted by GitHub. The primary function of GitHub is to host open source code repositories in a manner that facilitates sharing and collaboration.

If you wand to learn a bit more about Git and GitHub, you'll find it's an excellent investment. A good place to start is the GitHub help page.

License

Copyright © 2013 John Stachurski and Thomas J. Sargent GPLv3:

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.

This program is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
for more details.

You should have received a copy of the GNU General Public License along
with this program. If not, see <http://www.gnu.org/licenses/>.

About

QUANTITATIVE ECONOMICS, by John Stachurski and Thomas J. Sargent

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%