Okasha, Ahmed and Johnson, Colin G. (2009) Agent-Based Computational Economics: Studying the Effect of Different Levels of Rationality on Inflation and Unemployment. In: 2009 IEEE Symposium on Computational Intelligence for Financial Engineering. IEEE, pp. 20-28. ISBN 978-1-4244-2774-1. (doi:10.1109/CIFER.2009.4937498) (KAR id:24098)
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Official URL: http://dx.doi.org/10.1109/CIFER.2009.4937498 |
Abstract
This paper presents an agent-based computational economics model (ACE) to study demand-pull and cost-push inflation. Moreover, it studies the effect of different levels of rationality on the equilibrium price and unemployment rate. The model examines three different economies. In the first economy workers choose firms randomly, in the second economy there is loyalty between workers and firms. In the last scenario workers are persistence to find jobs. Simulations show that there is a positive relationship between equilibrium price and level of rationality while there is a negative relationship with unemployment rate. Moreover, the model is able to reproduce the behaviour of demand-pull inflation and cost-push inflation without homogeneous and perfectly rational agents assumptions.
Item Type: | Book section |
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DOI/Identification number: | 10.1109/CIFER.2009.4937498 |
Uncontrolled keywords: | Agent-based modelling, bounded rationality, Inflation |
Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Mark Wheadon |
Date Deposited: | 29 Mar 2010 12:14 UTC |
Last Modified: | 05 Nov 2024 10:03 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/24098 (The current URI for this page, for reference purposes) |
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