IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwppe/0501003.html
   My bibliography  Save this paper

Control of Complex Economy through Fiscal Variables. Economics & Complexity - Spring - 1998 - Vol2 N1

Author

Listed:
  • Salzano Massimo

    (Università di Salerno Dipartimento di Scienze Economiche e Statistiche)

Abstract

The aim of this work is that of exemplifying some applications of the modern theory of the complexity to the economic sector; we will highlight some of the possibilities of control of chaotic systems and some of that possibilities which are opened by the study of such systems. Remembering how a simple traditional macroeconomic model can give place to deterministic chaotic phenomena we will highlight: a) how it is possible to control such a system using opportune values of the fiscal variables; b) how it is possible to foresee the trend of the objective variable through a neural network, and, therefore, subsequently to control it on the basis of the value instruments chosen by the neural network. This will be done either in the presence of casual noises or in the case of a completely deterministic model; c) finally a different and more recent method of controlling chaotic systems will be indicated.

Suggested Citation

  • Salzano Massimo, 2005. "Control of Complex Economy through Fiscal Variables. Economics & Complexity - Spring - 1998 - Vol2 N1," Public Economics 0501003, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwppe:0501003
    Note: Type of Document - pdf; pages: 10
    as

    Download full text from publisher

    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/pe/papers/0501/0501003.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Public Finance; Complexity; Control of Economics; Macroeconomics;
    All these keywords.

    JEL classification:

    • D6 - Microeconomics - - Welfare Economics
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • H - Public Economics

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:wpa:wuwppe:0501003. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: EconWPA (email available below). General contact details of provider: https://econwpa.ub.uni-muenchen.de .

    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.