(build 20200411)

Stay tuned: new 6b version with takeover actions under development.

Marco Mazzoli, Matteo Morini, and Pietro Terna

The model and its construction are reported in Oligopoly.pdf. The code of the project is at https://github.com/terna/oligopoly.

A concise presentation of the simulation mechanism is reported in the following image:

The book M.Mazzoli, M.Morini, and P.Terna (2019), Rethinking macroeconomics with endogenous market structure, Cambridge University Press; other details. See also Introduction and Chapter 1 via Googe Books.

We have also the slides of an old presentation of the Oligopoly model at WEHIA 2017.

An article, Business Cycle in a Macromodel with Oligopoly and Agents’ Heterogeneity: An Agent-Based Approach, (2017) of M.Mazzoli, M.Morini, and P.Terna, discusses the model and its results (if you experience problems in reading, please use Firefox). [Look at Erratum below].

The Oligopoly model uses SLAPP as its agent-based modeling shell.

To run a specific case of the above quoted article or of the book Rethinking macroeconomics with endogenous market structure of M.Mazzoli, M.Morini, and P.Terna, please look at the Appendix C of the book itself or to the file runningSpecificCases.md.

It is possible to run Oligopoly directly online, via https://mybinder.org, accessing the file system at https://mybinder.org/v2/gh/terna/SLAPP3/master to modify – if necessary – the content of the folder oligopoly contained into the folder 6 objectSwarmObserverAgents_AESOP_turtleLib_NetworkX.

Then, from the main folder, we launch the iRunShellOnline.ipynb file, and finally we follow the instructions contained in it.

Erratum for the paper above: in Table 1, the Expected employment ratio at t=1 is 0.9 and not 0.8.