This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Genetic algorithms and inflationary economies

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Arifovic, Jasmina

Additional information is available for the following registered author(s):

Abstract

No abstract is available for this item.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/B6VBW-3YN9DS5-10/2/e544f151100251b5d8c8aee3c923bdd1
File Format:
File Function:
Download Restriction: Full text for ScienceDirect subscribers only

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.

Publisher Info
Article provided by Elsevier in its journal Journal of Monetary Economics.

Volume (Year): 36 (1995)
Issue (Month): 1 (August)
Pages: 219-243
Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Handle: RePEc:eee:moneco:v:36:y:1995:i:1:p:219-243

Contact details of provider:
Web page: http://www.elsevier.com/locate/inca/505566

For technical questions regarding this item, or to correct its listing, contact: (Heidi Boesdal).

Related research
Keywords:

Other versions of this item:

Cited by:
(explanations, 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.)
  1. Roberto Leombruni & Matteo Richiardi & Nicole J. Saam & Michele Sonnessa, 2005. "A Common Protocol for Agent-Based Social Simulation," LABORatorio R. Revelli Working Papers Series 47, LABORatorio R. Revelli, Centre for Employment Studies. [Downloadable!]
    Other versions:
  2. Kaushik Mitra & James Bullard, . "Learning About Monetary Policy Rules," Discussion Papers 00/41, Department of Economics, University of York. [Downloadable!]
    Other versions:
  3. James B. Bullard & Alvin L. Marty, 1998. "What has become of the "stability-through-inflation" argument?," Review, Federal Reserve Bank of St. Louis, issue Jan, pages 37-45. [Downloadable!]
  4. Shu-Heng Chen, John Duffy, Chia-Hsuan Yeh, . "Equilibrium Selection via Adaptation: Using Genetic Programming to Model Learning in a Coordination Game," The Electronic Journal of Evolutionary Modeling and Economic Dynamics, IFReDE - Université Montesquieu Bordeaux IV. [Downloadable!]
  5. Jie-Shin Lin, 2005. "An Analysis on Simulation Models of Competing Parties," Computing in Economics and Finance 2005 284, Society for Computational Economics. [Downloadable!]
  6. James Bullard & John Duffy, 1995. "On learning and the stability of cycles," Working Papers 1995-006, Federal Reserve Bank of St. Louis. [Downloadable!]
  7. Chia-Hsuan Yeh & Shu-Heng Chen, 2000. "Toward An Integration Of Social Learning And Individual Learning In Agent-Based Computational Stock Markets:The Approach Based On Population Genetic Programming," Computing in Economics and Finance 2000 338, Society for Computational Economics. [Downloadable!]
  8. James Bullard & John Duffy, 1994. "A model of learning and emulation with artificial adaptive agents," Working Papers 1994-014, Federal Reserve Bank of St. Louis. [Downloadable!]
    Other versions:
  9. James Bullard & Jasmina Arifovic & John Duffy, 1995. "Learning in a model of economic growth and development," Working Papers 1995-017, Federal Reserve Bank of St. Louis. [Downloadable!]
  10. Paul Gomme, 1998. "Evolutionary programming as a solution technique for the Bellman equation," Working Paper 9816, Federal Reserve Bank of Cleveland. [Downloadable!]
  11. Adam, Klaus & Evans, George W. & Honkapoja, Seppo, 2003. "Are Stationary Hyperinflation Paths Learnable?," CESifo Working Paper Series CESifo Working Paper No. , CESifo GmbH. [Downloadable!]
    Other versions:
  12. Marco A. Espinosa-Vega & Steven Russell, 1997. "History and theory of the NAIRU: a critical review," Economic Review, Federal Reserve Bank of Atlanta, issue Q 2, pages 4-25. [Downloadable!]
  13. Atanas Christev, 2007. "Learning Hyperinflations," Money Macro and Finance (MMF) Research Group Conference 2006 126, Money Macro and Finance Research Group. [Downloadable!]
    Other versions:
  14. Klaus Adam, 2003. "Learning and Equilibrium Selection in a Monetary Overlapping Generations Model with Sticky Prices," CFS Working Paper Series 2003/03, Center for Financial Studies. [Downloadable!]
    Other versions:
  15. Klaus Adam & George W. Evans & Seppo Honkapohja, 2003. "Are Hyperinflationary Paths Learnable?," University of Oregon Economics Department Working Papers 2003-31, University of Oregon Economics Department, revised 22 Apr 2005. [Downloadable!]
  16. Felipe Perez-Marti, 2000. "Private Experience in Adaptive Learning Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 3(2), pages 283-310, April. [Downloadable!] (restricted)
    Other versions:
  17. John Duffy, 2004. "Agent-Based Models and Human Subject Experiments," Computational Economics 0412001, EconWPA. [Downloadable!]
    Other versions:
  18. Shu-Heng Chen & Chia-Hsuan Yeh, 1999. "Evolving Traders and the Faculty of the Business School: A New Architecture of the Artificial Stock Market," Computing in Economics and Finance 1999 613, Society for Computational Economics. [Downloadable!]
  19. Jie-Shin Lin & Chris Birchenhall, 2000. "Learning And Adaptive Artificial Agents: An Analysis Of Evolutionary Economic Models," Computing in Economics and Finance 2000 327, Society for Computational Economics. [Downloadable!]
Statistics
Access and download statistics

Did you know? About 900 archives contribute their bibliographic data to RePEc.

This page was last updated on 2008-8-8.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.