IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-00931242.html
   My bibliography  Save this paper

Improving the toolbox - New advances in Agent-based and Computational Models

Author

Listed:
  • Jean-Luc Gaffard

    () (SKEMA Business School - SKEMA Business School, GREDEG - Groupe de Recherche en Droit, Economie et Gestion - CNRS - Centre National de la Recherche Scientifique - UNS - Université Nice Sophia Antipolis - UCA - Université Côte d'Azur , OFCE - Observatoire Français des Conjonctures économiques - Institut d'Études Politiques [IEP] - Paris - Fondation Nationale des Sciences Politiques [FNSP])

  • Mauro Napoletano

    (SKEMA Business School - SKEMA Business School, OFCE - Observatoire Français des Conjonctures économiques - Institut d'Études Politiques [IEP] - Paris - Fondation Nationale des Sciences Politiques [FNSP])

Abstract

Are current economic models well equipped to provide useful policy prescriptions? Many economists would have certainly answered, “yes” before the recent Global Recession. This economic crisis has not only demonstrated the importance of banking and financial markets for the dynamics of real economies. It has also revealed the inadequacy of the dominant theoretical framework. Standard models have indeed failed to forecast the advent of the crisis. In addition, they have been unable to indicate a therapy able to restore economic growth. (First paragraph)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Jean-Luc Gaffard & Mauro Napoletano, 2012. "Improving the toolbox - New advances in Agent-based and Computational Models," Post-Print halshs-00931242, HAL.
  • Handle: RePEc:hal:journl:halshs-00931242
    Note: View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00931242
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Zakaria Babutsidze, 2012. "Asymmetric (S,s) Pricing: Implications for Monetary Policy," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 177-204.
    2. Fabrizio Patriarca & Francesco Vona, 2012. "Environmental Taxes, Inequality and Technical Change," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 389-413.
    3. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 67-116.
    4. Jacob Grazzini & Matteo Richiardi & Lisa Sella, 2012. "Indirect estimation of agent-based models.An application to a simple diffusion model," LABORatorio R. Revelli Working Papers Series 118, LABORatorio R. Revelli, Centre for Employment Studies.
    5. Mauro Napoletano & Giovanni Dosi & Giorgio Fagiolo & Andrea Roventini, 2012. "Wage Formation, Investment Behavior and Growth Regimes: An Agent-Based Analysis," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 235-261.
    6. Ricardo J. Caballero, 2010. "Macroeconomics after the Crisis: Time to Deal with the Pretense-of-Knowledge Syndrome," Journal of Economic Perspectives, American Economic Association, vol. 24(4), pages 85-102, Fall.
    7. Quamrul Ashraf & Boris Gershman & Peter Howitt, 2012. "Macroeconomics in a Self-Organizing Economy," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 43-65.
    8. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis: A New Tool for Economic and Policy Analysis," Sciences Po publications 3, Sciences Po.
    9. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis," Working Papers hal-01070338, HAL.
    10. Eric Guerci & Alessandro Sapio, 2012. "High wind Penetration in an Agent-Based Model of the Electricity Market. The Case of Italy," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 415-447.
    11. Silvano Cincotti & Marco Raberto & Andrea Teglio, 2012. "Macroprudential Policies in an Agent-Based Artificial Economy," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 205-234.
    12. Sylvain Barde, 2012. "Of Ants and Voters. Maximum Entropy Prediction of Agent-Based Models with Recruitment," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 147-175.
    13. Tommaso Ciarli, 2012. "Structural Interactions and Long Run Growth. An Application of Experimental Design to Agent Based Models," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 295-345.
    14. Alan Kirman, 1993. "Ants, Rationality, and Recruitment," The Quarterly Journal of Economics, Oxford University Press, vol. 108(1), pages 137-156.
    15. Joseph E. Stiglitz, 2011. "Rethinking Macroeconomics: What Failed, And How To Repair It," Journal of the European Economic Association, European Economic Association, vol. 9(4), pages 591-645, August.
    16. repec:spo:wpecon:info:hdl:2441/53r60a8s3kup1vc9l5643ehjk is not listed on IDEAS
    17. Herbert Dawid & Michael Neugart, 2011. "Agent-based Models for Economic Policy Design," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 37(1), pages 44-50.
    18. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:eee:dyncon:v:82:y:2017:i:c:p:125-141 is not listed on IDEAS
    2. Guerini, Mattia & Moneta, Alessio, 2017. "A method for agent-based models validation," Journal of Economic Dynamics and Control, Elsevier, vol. 82(C), pages 125-141.

    More about this item

    Keywords

    economic analysis; Agent-based modelling;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:halshs-00931242. See general 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: (CCSD). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.