IDEAS home Printed from https://ideas.repec.org/p/sce/scecf2/10.html
   My bibliography  Save this paper

Is non-linear serial dependence present in the US unemployment rate and the growth rates of employment sectoral shares?

Author

Listed:
  • T Panagiotidis
  • G Pelloni

Abstract

No abstract is available for this item.

Suggested Citation

  • T Panagiotidis & G Pelloni, 2002. "Is non-linear serial dependence present in the US unemployment rate and the growth rates of employment sectoral shares?," Computing in Economics and Finance 2002 10, Society for Computational Economics.
  • Handle: RePEc:sce:scecf2:10
    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.

    Citations

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


    Cited by:

    1. Panagiotidis, Theodore & Pelloni, Gianluigi, 2003. "Testing for non-linearity in labour markets: the case of Germany and the UK," Journal of Policy Modeling, Elsevier, vol. 25(3), pages 275-286, April.

    More about this item

    Keywords

    Non-linearity; Unemployment Rate; Sectoral Shares;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

    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:sce:scecf2:10. 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: Christopher F. Baum (email available below). General contact details of provider: https://edirc.repec.org/data/sceeeea.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.