Credit money and macroeconomic instability in the agent-based model and simulator Eurace
AbstractThe paper presented a study on the relationship between credit money and economic instability. The issue is of primary importance because, as it is generally stated, lower variability of output and inflation has numerous economic benefits. We address this problem by means of an agent-based model and simulator, called Eurace, which is characterized by a complete set of interrelated markets and different types of interacting agents, modelled according to a rigorous balance-sheet approach. The dynamics of credit money is endogenous and depends on the supply of credit from the banking system, which is constrained by its equity base, and the demand of credit from firms in order to finance their production activity. Alternative dynamic paths for credit money have been produced by setting different firms' dividend policies. Results show the emergence of endogenous business cycles which are mainly due to the interplay between the real economic activity and its financing through the credit market. In particular, the amplitude of the business cycles strongly raises when the fraction of earnings paid out by firms as dividends is higher, that is when firms are more constrained to borrow credit money to fund their activity. This interesting evidence can be explained by the fact that the level of firms leverage, defined as the debt-equity ratio, can be considered ad a proxy of the likelihood of bankruptcy, an event which causes mass layoffs and supply decrease. --
Download InfoIf 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.
Bibliographic InfoPaper provided by Kiel Institute for the World Economy in its series Economics Discussion Papers with number 2010-4.
Date of creation: 2010
Date of revision:
Macroeconomic policy design; agent-based computational economics; credit money; economic instability;
Other versions of this item:
- Cincotti, Silvano & Raberto, Marco & Teglio, Andrea, 2010. "Credit money and macroeconomic instability in the agent-based model and simulator Eurace," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy, vol. 4(26), pages 1-32.
- E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
- E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-02-05 (All new papers)
- NEP-CMP-2010-02-05 (Computational Economics)
- NEP-MAC-2010-02-05 (Macroeconomics)
- NEP-MON-2010-02-05 (Monetary Economics)
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.:
- Tesfatsion, Leigh, 2001.
"Structure, behavior, and market power in an evolutionary labor market with adaptive search,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 25(3-4), pages 419-457, March.
- Tesfatsion, Leigh S., 2009. "Structure, Behavior, and Market Power in an Evolutionary Labor Market with Adaptive Search," Staff General Research Papers 1681, Iowa State University, Department of Economics.
- Leigh Tesfatsion, 2000. "Structure, Behavior, and Market Power in an Evolutionary Labor Market with Adaptive Search," Computational Economics 0004002, EconWPA.
- Tesfatsion, Leigh S., 2001. "Structure, Behavior, and Market Power in an Evolutionary Labor Market with Adaptive Search," Staff General Research Papers 1914, Iowa State University, Department of Economics.
- Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, December.
- H. Dawid & S. Gemkow & P. Harting & K. Kabus & K. Wersching & M. Neugart, 2008. "Skills, Innovation, and Growth: An Agent-Based Policy Analysis," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), Justus-Liebig University Giessen, Department of Statistics and Economics, vol. 228(2+3), pages 251-275, June.
- Christopher D. Carroll, 2001.
"A Theory of the Consumption Function, With and Without Liquidity Constraints (Expanded Version),"
NBER Working Papers
8387, National Bureau of Economic Research, Inc.
- Christopher D. Carroll, 2001. "A Theory of the Consumption Function, with and without Liquidity Constraints," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 23-45, Summer.
- Christopher D. Carroll, 2001. "Codes for A Theory of the Consumption Function, With and Without Liquidity Constraints," QM&RBC Codes 37, Quantitative Macroeconomics & Real Business Cycles.
- Marco Raberto & Andrea Teglio & Silvano Cincotti, 2008. "Integrating Real and Financial Markets in an Agent-Based Economic Model: An Application to Monetary Policy Design," Computational Economics, Society for Computational Economics, vol. 32(1), pages 147-162, September.
- Domenico Delli Gatti & Mauro Gallegati & Bruce Greenwald & Alberto Russo & Joseph Stiglitz, 2009. "Business fluctuations and bankruptcy avalanches in an evolving network economy," Journal of Economic Interaction and Coordination, Springer, vol. 4(2), pages 195-212, November.
- Deaton, Angus, 1992.
" Household Saving in LDCs: Credit Markets, Insurance and Welfare,"
Scandinavian Journal of Economics,
Wiley Blackwell, vol. 94(2), pages 253-73.
- Deaton, A., 1991. "Household Saving in LDC'S: Credit Markets, Insurance, And Welfare," Papers 153, Princeton, Woodrow Wilson School - Development Studies.
- Christophe Deissenberg & Sander Van Der Hoog & Herbert Dawid, 2008. "EURACE: A Massively Parallel Agent-Based Model of the European Economy," Working Papers halshs-00339756, HAL.
- LeBaron, Blake, 2006. "Agent-based Computational Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 24, pages 1187-1233 Elsevier.
- Kahneman, Daniel & Tversky, Amos, 1979.
"Prospect Theory: An Analysis of Decision under Risk,"
Econometric Society, vol. 47(2), pages 263-91, March.
- Amos Tversky & Daniel Kahneman, 1979. "Prospect Theory: An Analysis of Decision under Risk," Levine's Working Paper Archive 7656, David K. Levine.
- Shlomo Benartzi & Richard H. Thaler, 1993.
"Myopic Loss Aversion and the Equity Premium Puzzle,"
NBER Working Papers
4369, National Bureau of Economic Research, Inc.
- Benartzi, Shlomo & Thaler, Richard H, 1995. "Myopic Loss Aversion and the Equity Premium Puzzle," The Quarterly Journal of Economics, MIT Press, vol. 110(1), pages 73-92, February.
- Herbert Dawid & Simon Gemkow & Philipp Harting & Michael Neugart, 2009. "On the Effects of Skill Upgrading in the Presence of Spatial Labor Market Frictions: An Agent-Based Analysis of Spatial Policy Design," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(4), pages 5.
- Basu, N & Pryor, R & Quint, T, 1998. "ASPEN: A Microsimulation Model of the Economy," Computational Economics, Society for Computational Economics, vol. 12(3), pages 223-41, December.
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page. reading list or among the top items on IDEAS.Access and download statisticsgeneral 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: (ZBW - German National Library of Economics).
If references are entirely missing, you can add them using this form.