Computational Model Library

Agent-Based Ramsey growth model with endogenous technical progress (ABRam-T) (1.0.0)

The Agent-Based Ramsey growth model is designed to analyze and test a decentralized economy composed of utility maximizing agents, with a particular focus on understanding the growth dynamics of the system. We consider farms that adopt different investment strategies based on the information available to them. The model is built upon the well-known Ramsey growth model, with the introduction of endogenous technical progress through mechanisms of learning by doing and knowledge spillovers.

Release Notes

Run the notebook run_the_model_notebook.ipynb to run a simulation and to plot results from the simulation.

Associated Publications

https://doi.org/10.5281/zenodo.10654996

This release is out-of-date. The latest version is 1.1.0

Agent-Based Ramsey growth model with endogenous technical progress (ABRam-T) 1.0.0

Submitted by Aida Sarai Figueroa Alvarez Published Feb 14, 2024 Last modified Feb 19, 2024
Endogenous technical progress agent based model Agents with expectations Ramsey growth model

The Agent-Based Ramsey growth model is designed to analyze and test a decentralized economy composed of utility maximizing agents, with a particular focus on understanding the growth dynamics of the system. We consider farms that adopt different investment strategies based on the information available to them. The model is built upon the well-known Ramsey growth model, with the introduction of endogenous technical progress through mechanisms of learning by doing and knowledge spillovers.

Release Notes

Run the notebook run_the_model_notebook.ipynb to run a simulation and to plot results from the simulation.

Cite this Model

Aida Sarai Figueroa Alvarez, Sarah Wolf, Malika Tokpanova (2024, February 14). “Agent-Based Ramsey growth model with endogenous technical progress (ABRam-T)” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/0d2d9f03-e579-4d59-bd9a-35be1439f8ed/releases/1.0.0/

Associated Publication(s)

https://doi.org/10.5281/zenodo.10654996

References

Joël Foramitti. Agentpy: A package for agent-based modeling in python. Journal of Open Source Software, 6(62):3065, 2021

Gesine Steudle, Sarah Wolf, Jahel Mielke and Carlo Jaeger. Green growth mechanics: The building blocks. Climate Global Forum, January 2018.

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Contributors
Aida Sarai Figueroa Alvarez Sarah Wolf Malika Tokpanova
DOI
No assigned DOI
Model Version
1.0.0
License
CC-BY-4.0
Programming Language
Python 3 Jupyter Notebook
Software Framework
AgentPy
Operating System
Operating System Independent
Publish Date
Wednesday, February 14, 2024
Last Updated
Wednesday, February 14, 2024
Downloads 27
This release has not been reviewed but a different version has passed peer review.
Version Submitter First published Last modified Status
1.1.0 Aida Sarai Figueroa Alvarez Mon Feb 19 09:04:32 2024 Fri Apr 19 06:57:31 2024 Published Peer Reviewed https://doi.org/10.25937/ep45-k084
1.0.0 Aida Sarai Figueroa Alvarez Wed Feb 14 10:51:06 2024 Wed Feb 14 10:51:06 2024 Published

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