Computational Model Library

Endogenous dynamics of firms made up by networked agents: an exploratory analysis (1.0.0)

The firm is the institutional means that employees use to work together and achieve economies of scale whereas applying the same level of effort. This work investigates the dynamic process of aggregation of individuals in firms, reflecting the dynamics of the firms themselves. A network-based agent-model is adapted from Axtell (2013) and simulated for the case of Belo Horizonte and neighboring municipalities, with two network alternatives. The results are able to replicate empirical aggregate data. They also show a higher intrinsic volatility in the model which the contact network is restricted to by municipality.

Release Notes

Associated Publications

http://hdl.handle.net/11058/6878

This release is out-of-date. The latest version is 1.2.0

Endogenous dynamics of firms made up by networked agents: an exploratory analysis 1.0.0

Submitted by Bernardo Furtado Published Mar 23, 2016 Last modified Feb 23, 2018
endogenous firms robert axtell economics Python

The firm is the institutional means that employees use to work together and achieve economies of scale whereas applying the same level of effort. This work investigates the dynamic process of aggregation of individuals in firms, reflecting the dynamics of the firms themselves. A network-based agent-model is adapted from Axtell (2013) and simulated for the case of Belo Horizonte and neighboring municipalities, with two network alternatives. The results are able to replicate empirical aggregate data. They also show a higher intrinsic volatility in the model which the contact network is restricted to by municipality.

Cite this Model

Bernardo Alves Furtado, Isaque Daniel Rocha Eberhardt (2016, March 23). “Endogenous dynamics of firms made up by networked agents: an exploratory analysis” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/4948/releases/1.0.0/

Replication of a previously described model

AXTELL, R. Endogenous firms and their dynamics. Fairfax; Santa Fe: George Mason University; Santa Fe Institute, 2013. Available at http://goo.gl/bKx2jK

Associated Publication(s)

http://hdl.handle.net/11058/6878

Create an Open Code Badge that links to this model more info

This model has not been reviewed by CoMSES Net and should be independently reviewed to meet the Open Code Badge guidelines.
You can use the following HTML or Markdown code to create an Open Code Badge that links to version 1.0.0 of this computational model. 

<a href="https://www.comses.net/codebases/4948/releases/1.0.0/">
  <img height="100" src="https://www.comses.net/static/images/icons/open-code-badge.svg" alt="Open Code Badge">
</a>


[![Open Code Badge](https://www.comses.net/static/images/icons/open-code-badge.svg)](https://www.comses.net/codebases/4948/releases/1.0.0/)
Contributors
Bernardo Alves Furtado Isaque Daniel Rocha Eberhardt
DOI
No assigned DOI
Model Version
1.0.0
License
AFL-3.0
Programming Language
Python
Software Framework
None
Operating System
Windows
Publish Date
Wednesday, March 23, 2016
Last Updated
Tuesday, February 20, 2018
Downloads 441
Peer Review
Unreviewed
Version Submitter First published Last modified Status
1.2.0 Bernardo Furtado Wed Oct 5 19:07:07 2016 Tue Feb 20 11:12:41 2018 Published
1.1.0 Bernardo Furtado Fri Apr 15 18:15:16 2016 Tue Feb 20 17:38:14 2018 Published
1.0.0 Bernardo Furtado Wed Mar 23 13:35:31 2016 Tue Feb 20 17:38:26 2018 Published

Discussion

This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.
Accept