[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/kap/compec/v15y2000i1-2p59-78.html
   My bibliography  Save this article

A Test for Strong Hysteresis

Author

Listed:
  • Piscitelli, Laura
  • Cross, Rod
  • Grinfeld, Michael
  • Lamba, Harbir
Abstract
The mathematical definition of systems with hysteresis, that is nonlinear input-output systems with memory, is different from the definition usually applied to economic systems. Economic theory and modelling practice have almost always specified simple dynamic systems with regular leads and lags in their responses, corresponding to input-output systems with unit or zero (or at least stable) roots. These models cannot capture the "selective memory" feature of hysteretic behaviour, that is, the influence only of certain past events (typically, non-dominated sequences of previous peaks and troughs). There is therefore a difficulty in testing for and validating economic models containing hysteretic behaviour; appropriate empirical tests have not been developed. In particular, the usual unit vs. zero (or stable) root tests used in econometric analysis are unable to detect hysteretic behaviour or to distinguish it from more conventional economic behaviour. The purpose of this paper is to propose a new way of testing for hysteresis, by drawing on some ideas in the mathematical/control theory literature and adapting them to fit into the economic frameworks with elements of hysteresis. Citation Copyright 2000 by Kluwer Academic Publishers.

Suggested Citation

  • Piscitelli, Laura & Cross, Rod & Grinfeld, Michael & Lamba, Harbir, 2000. "A Test for Strong Hysteresis," Computational Economics, Springer;Society for Computational Economics, vol. 15(1-2), pages 59-78, April.
  • Handle: RePEc:kap:compec:v:15:y:2000:i:1-2:p:59-78
    as

    Download full text from publisher

    File URL: http://journals.kluweronline.com/issn/0927-7099/contents
    Download Restriction: Access to the full text of the articles in this series is restricted.
    ---><---

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

    Other versions of this item:

    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:kap:compec:v:15:y:2000:i:1-2:p:59-78. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.