IDEAS home Printed from https://ideas.repec.org/a/jns/jbstat/v228y2008i2-3p276-295.html
   My bibliography  Save this article

Monetary and Fiscal Policy Analysis With an Agent-Based Macroeconomic Model

Author

Listed:
  • Haber Gottfried

    () (Department of Economics, Alpen-Adria University Klagenfurt, Universitaetsstrasse 65–67, 9020 Klagenfurt, Austria)

Abstract

Macroeconomic policy analysis is a challenge for agent-based models because these types of model are generally much elaborated on the specific market levels for partial (micro) markets, but have been of limited use for macroeconomic policy issues due to calibration and “model closure” issues.Moreover, macroeconomic policy measures at a high level of aggregation, such as general fiscal policy and monetary policy, tend to include several microeconomic aspects determined by the macroeconomic policy makers (i.e. the specific process of money transmission, budget constraints within/for the public sector, etc.), which are not usually captured by agent-based models with an emphasis on microfoundation. Thus, a fully-specified macroeconomic agent-based model, AS1, is applied in this paper. Specifically, the monetary sector is modeled in detail, and both the central bank and the public sector are set up as separate agents with their own expectations and behavior. The paper has two aims: (a) to show that economic policy may be analyzed in this context with more elaborate expectation formation mechanisms than in traditional models, and (b) to demonstrate that this might change the assessment of policy effectiveness. Two illustrative examples for monetary and fiscal policies are presented with different levels of rationality and differences in the expectation formation process.

Suggested Citation

  • Haber Gottfried, 2008. "Monetary and Fiscal Policy Analysis With an Agent-Based Macroeconomic Model," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 276-295, April.
  • Handle: RePEc:jns:jbstat:v:228:y:2008:i:2-3:p:276-295
    as

    Download full text from publisher

    File URL: https://www.degruyter.com/view/j/jbnst.2008.228.issue-2-3/jbnst-2008-2-308/jbnst-2008-2-308.xml?format=INT
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Arifovic, Jasmina, 1994. "Genetic algorithm learning and the cobweb model," Journal of Economic Dynamics and Control, Elsevier, vol. 18(1), pages 3-28, January.
    2. David F. Midgley & Robert E. Marks & Lee C. Cooper, 1997. "Breeding Competitive Strategies," Management Science, INFORMS, vol. 43(3), pages 257-275, March.
    3. Russo, Alberto & Catalano, Michele & Gaffeo, Edoardo & Gallegati, Mauro & Napoletano, Mauro, 2007. "Industrial dynamics, fiscal policy and R&D: Evidence from a computational experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 64(3-4), pages 426-447.
    4. Peter Winker & Manfred Gilli & Vahidin Jeleskovic, 2007. "An objective function for simulation based inference on exchange rate data," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 2(2), pages 125-145, December.
    5. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    6. 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.
    7. Giorgio Fagiolo & Paul Windrum & Alessio Moneta, 2006. "Empirical Validation of Agent Based Models: A Critical Survey," LEM Papers Series 2006/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    8. Gilli, M. & Winker, P., 2003. "A global optimization heuristic for estimating agent based models," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 299-312, March.
    9. George A. Akerlof, 2003. "Behavioral Macroeconomics and Macroeconomic Behavior," The American Economist, Sage Publications, vol. 47(1), pages 25-47, March.
    10. 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, Springer;Society for Computational Economics, vol. 32(1), pages 147-162, September.
    11. Arifovic, Jasmina, 2000. "Evolutionary Algorithms In Macroeconomic Models," Macroeconomic Dynamics, Cambridge University Press, vol. 4(03), pages 373-414, September.
    12. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
    13. Christopher A. Sims, 1996. "Macroeconomics and Methodology," Journal of Economic Perspectives, American Economic Association, vol. 10(1), pages 105-120, Winter.
    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. Lengnick, Matthias, 2013. "Agent-based macroeconomics: A baseline model," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 102-120.
    2. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    3. repec:spo:wpecon:info:hdl:2441/53r60a8s3kup1vc9l5643ehjk is not listed on IDEAS
    4. 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.
    5. Burgstaller Johann, 2010. "Bank Lending and Monetary Policy Transmission in Austria," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(2), pages 163-185, April.
    6. Poledna, Sebastian & Thurner, Stefan & Farmer, J. Doyne & Geanakoplos, John, 2014. "Leverage-induced systemic risk under Basle II and other credit risk policies," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 199-212.
    7. LeBaron Blake & Winker Peter, 2008. "Introduction to the Special Issue on Agent-Based Models for Economic Policy Advice," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 228(2-3), pages 141-148, April.
    8. Mauro Napoletano & Jean-Luc Gaffard & Zakaria Babutsidze, 2012. "Agent Based Models A New Tool for Economic and Policy Analysis," Working Papers hal-01070338, HAL.
    9. Salle, Isabelle L., 2015. "Modeling expectations in agent-based models — An application to central bank's communication and monetary policy," Economic Modelling, Elsevier, vol. 46(C), pages 130-141.
    10. Herbert Dawid & Simon Gemkow & Philipp Harting & Michael Neugart, 2012. "Labor market integration policies and the convergence of regions: the role of skills and technology diffusion," Journal of Evolutionary Economics, Springer, vol. 22(3), pages 543-562, July.
    11. Riccetti, Luca & Russo, Alberto & Mauro, Gallegati, 2013. "Financial Regulation in an Agent Based Macroeconomic Model," MPRA Paper 51013, University Library of Munich, Germany.
    12. Pasquale Cirillo & Mauro Gallegati, 2012. "The Empirical Validation of an Agent-based Model," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 38(4), pages 525-547.

    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:jns:jbstat:v:228:y:2008:i:2-3:p:276-295. 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: (Peter Golla). General contact details of provider: https://www.degruyter.com .

    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.