Skip to content

Interactive guide to Auclert, Bardóczy, Rognlie, and Straub (2019): "Using the Sequence-Space Jacobian to Solve and Estimate Heterogeneous-Agent Models".

Notifications You must be signed in to change notification settings

JonasNauerz/sequence-jacobian

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Sequence-Space Jacobian

A unified framework to solve and analyze heterogeneous-agent macro models.

Python toolkit based on Auclert, Bardóczy, Rognlie, Straub (2021): "Using the Sequence-Space Jacobian to Solve and Estimate Heterogeneous-Agent Models" [ungated copy].

Important Note: This page currently reflects version 1.0.0-alpha of the toolkit. This is a preliminary release of an extensively overhauled and improved version of the old toolkit. Unfortunately, we do not yet have any documentation or tutorials available for this new version, although these are coming soon!

For now, most users will probably want to visit and download the toolkit from the original toolkit page instead, which has instructions and extensive Jupyter notebooks that walk through the process of using the toolkit.

1. Resources

  • New documentation and tutorials are coming soon. Please see the original toolkit page for a version with tutorials.

About

Interactive guide to Auclert, Bardóczy, Rognlie, and Straub (2019): "Using the Sequence-Space Jacobian to Solve and Estimate Heterogeneous-Agent Models".

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 77.4%
  • Python 22.6%