A Generic Framework for a Combined Agent-based Market and Production Model
Agent-based market models are in general based on a-priori defined supply and demand schemes. Likewise, production models assume that prices are known a-priori. In reality prices depend on variable demands and supplies, while demand and supply depend on variable prices, and these two processes are interconnected. This paper describes a model that for the first time simulates a combined agent-based double auction market and production model. The model is built around von Neumann technology matrices (von Neumann, Rev Econ Stud 13(1):1–9, 1946 ) which provide the links between products. Agents possess one or more technologies to produce products from other products. They trade in order to acquire the inputs and sell in order to generate revenue, and the price is determined by a process of negotiation between buyers and sellers. The algorithm of negotiation is based on Cliff’s Zero Intelligence Plus approach (Cliff, Minimal-intelligence agents for bargaining behaviors in market-based environments. Technical report, School of Cognitive and Computing Sciences, University of Sussex, 1997 ), but instead of a single commodity with fixed limit prices the agents change their limit prices for multiple products based on the simulated economic situation. The combination of production and market provides a simple but complete bottom-up model framework for microeconomics. As the results show, the model employs a price mechanism that results in an appropriate allocation of resources without a central command. Copyright Springer Science+Business Media New York 2013
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 41 (2013)
Issue (Month): 4 (April)
|Contact details of provider:|| Web page: http://www.springerlink.com/link.asp?id=100248|
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Jason Potts, 2001. "Knowledge and markets," Journal of Evolutionary Economics, Springer, vol. 11(4), pages 413-431.
- Vernon L. Smith, 1962.
"An Experimental Study of Competitive Market Behavior,"
Journal of Political Economy,
University of Chicago Press, vol. 70, pages 111.
- Vernon L. Smith, 1962. "An Experimental Study of Competitive Market Behavior," Journal of Political Economy, University of Chicago Press, vol. 70, pages 322.
- LeBaron, Blake & Arthur, W. Brian & Palmer, Richard, 1999.
"Time series properties of an artificial stock market,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 23(9-10), pages 1487-1516, September.
- Carl Chiarella & Giulia Iori, 2002. "A simulation analysis of the microstructure of double auction markets," Quantitative Finance, Taylor & Francis Journals, vol. 2(5), pages 346-353.
- Gode, Dhananjay K & Sunder, Shyam, 1993. "Allocative Efficiency of Markets with Zero-Intelligence Traders: Market as a Partial Substitute for Individual Rationality," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 119-37, February.
- B. LeBaron, 2001. "A builder's guide to agent-based financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 254-261.
When requesting a correction, please mention this item's handle: RePEc:kap:compec:v:41:y:2013:i:4:p:425-445. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Guenther Eichhorn)or (Christopher F. Baum)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.