IDEAS home Printed from https://ideas.repec.org/p/zbw/tuedps/81.html
   My bibliography  Save this paper

Kontrolle von Chaos am Beispiel des Kaldor-Modells

Author

Listed:
  • Heilig, Stephan
  • Schöbel, Rainer

Abstract

Am Beispiel des Konjunkturmodells von Kaldor wird gezeigt, wie die Kontrolle eines chaotischen Systems mit begrenzten Resourcen auch dann noch durchgeführt werden kann, wenn es sich bei dem zu stabilisierenden Gleichgewicht nicht mehr um einen sogenannten Sattelpunkt handelt. Diese Problemstellung hat erhebliche ökonomische Relevanz, da nicht von vornherein unterstellt werden kann, daß wirtschaftspolitisch sinnvolle Gleichgewichte diese Sattelpunkteigenschaft besitzen. Als Steuergröße wird das staatliche Investitionsvolumen gewählt, eine Größe, die auch in der realen Konjunkturpolitik eine wichtige Rolle spielt. Im Ergebnis zeigt sich, daß sich die speziellen Eigenschaften eines chaotischen Systems vorteilhaft zur Konjunktursteuerung einsetzen lassen. Es besitzt somit eine Anpassungsflexibilität, die herkömmlichen nichtchaotischen Modellen vorenthalten bleibt.

Suggested Citation

  • Heilig, Stephan & Schöbel, Rainer, 1996. "Kontrolle von Chaos am Beispiel des Kaldor-Modells," Tübinger Diskussionsbeiträge 81, University of Tübingen, School of Business and Economics.
    • Handle: RePEc:zbw:tuedps:81
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/104929/1/tdb081.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Holyst, Janusz A & Hagel, Tilo & Haag, Gunter & Weidlich, Wolfgang, 1996. "How to Control a Chaotic Economy?," Journal of Evolutionary Economics, Springer, vol. 6(1), pages 31-42, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Barkley Rosser, J. Jr., 2001. "Complex ecologic-economic dynamics and environmental policy," Ecological Economics, Elsevier, vol. 37(1), pages 23-37, April.
    2. Akhmet, Marat & Akhmetova, Zhanar & Fen, Mehmet Onur, 2014. "Chaos in economic models with exogenous shocks," Journal of Economic Behavior & Organization, Elsevier, vol. 106(C), pages 95-108.
    3. Alexeeva, Tatyana A. & Kuznetsov, Nikolay V. & Mokaev, Timur N., 2021. "Study of irregular dynamics in an economic model: attractor localization and Lyapunov exponents," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    4. Wieland, Cristian & Westerhoff, Frank H., 2005. "Exchange rate dynamics, central bank interventions and chaos control methods," Journal of Economic Behavior & Organization, Elsevier, vol. 58(1), pages 117-132, September.
    5. Vivaldo M. Mendes & Diana A. Mendes & José Sousa Ramos, 2008. "Symbolic Dynamics and Control in a Matching Labor Market Model," Working Papers Series 1 ercwp1308, ISCTE-IUL, Business Research Unit (BRU-IUL).
    6. Anna Agliari & Ahmad Naimzada & Nicolò Pecora, 2017. "Nonlinear monetary policy rules in a pure exchange overlapping generations model," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1181-1203, November.
    7. Vivaldo M. Mendes & Diana A. Mendes, 2006. "Active Interest Rate Rules and the Role of Stabilization Policy R&D Tax Credits," Working Papers Series 1 ercwp0208, ISCTE-IUL, Business Research Unit (BRU-IUL).
    8. Vivaldo M. Mendes & Diana A. Mendes, 2007. "Controlling Endogenous Cycles in an OLG Economy by the OGY Method," Working Papers Series 1 ercwp0808, ISCTE-IUL, Business Research Unit (BRU-IUL).
    9. H. Siddiqi, 2015. "The Routes To Chaos In The Bitcoins Market," Review of Business and Economics Studies // Review of Business and Economics Studies, Финансовый Университет // Financial University, vol. 3(3), pages 32-38.
    10. Perc, Matjaz, 2007. "Microeconomic uncertainties facilitate cooperative alliances and social welfare," Economics Letters, Elsevier, vol. 95(1), pages 104-109, April.
    11. Kaas, Leo, 1998. "Stabilizing chaos in a dynamic macroeconomic model," Journal of Economic Behavior & Organization, Elsevier, vol. 33(3-4), pages 313-332, January.
    12. Behrens, D. A. & Feichtinger, G. & Prskawetz, A., 1997. "Complex dynamics and control of arms race," European Journal of Operational Research, Elsevier, vol. 100(1), pages 192-215, July.

    More about this item

    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:zbw:tuedps:81. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/wftuede.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.