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