DocumentCode :
120884
Title :
A computational agent-based simulation of an artificial monetary union for dynamic comparative institutional analysis
Author :
Rengs, Bernhard ; Wackerle, Manuel
Author_Institution :
Res. Group Econ., Vienna Univ. of Technol., Vienna, Austria
fYear :
2014
fDate :
27-28 March 2014
Firstpage :
427
Lastpage :
434
Abstract :
We present a highly stylized agent-based computational model (ABM) of an artificial economic and monetary union. Contrary to other current macroeconomic ABMs, it focuses on the relations/consequences of credit-financed, high-leveraged economies, conspicuous consumption within and across borders and a monetary and economic union of individual countries. The model includes a number of boundedly rational agents of the following types: a central bank, states & governments, banks, firms and households. In summary, it enables simulations of interacting political economies within a monetary union, entailing complex interactions and interdependencies between centralized governments/central banks and decentralized markets for goods (regular and status), labor, loans as well as bonds from the bottom up. Through its modular structure, we are able to apply dynamic comparative institutional analysis by investigating medium and long-run economic effects.
Keywords :
bank data processing; digital simulation; economics; multi-agent systems; ABM; artificial economic; artificial monetary union; central bank; centralized governments; computational agent-based simulation; credit-financed economies; decentralized markets; dynamic comparative institutional analysis; economic effects; economic union; high-leveraged economies; interacting political economy simulations; labor; loans; modular structure; rational agents; states; stylized agent-based computational model; Adaptation models; Computational modeling; Finance; Government; Macroeconomics; Production;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Financial Engineering & Economics (CIFEr), 2104 IEEE Conference on
Conference_Location :
London
Type :
conf
DOI :
10.1109/CIFEr.2014.6924105
Filename :
6924105
Link To Document :
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