IDEAS home Printed from
MyIDEAS: Login to save this article or follow this journal

La dinamica della disoccupazione europea: un'analisi spaziale

  • Vincenzo Dall'Aglio


    (Università degli Studi di Parma)

Registered author(s):

    This paper examines the spatial dynamics of European unemployment by applying non-parametric methods. The use of different levels of administrative data, the study of female and youth unemployment, and the analysis of regression trees are the main innovations with respect to the related work by Overman and Puga (2002). Stochastic kernels analysis confirms that the emerging feature of the dynamics of European unemployment rate is polarization. Moreover, regression trees show that unemployment growth rates are more similar across surrounding areas (particularly within the same Member State), than across regions with similar specialization or educational attainment. Our results suggest that polarization is primary demand-driven.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: Payment required

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by SIPI Spa in its journal Rivista di Politica Economica.

    Volume (Year): 95 (2005)
    Issue (Month): 4 (July-August)
    Pages: 161-198

    in new window

    Handle: RePEc:rpo:ripoec:v:95:y:2005:i:4:p:161-198
    Contact details of provider:

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:rpo:ripoec:v:95:y:2005:i:4:p:161-198. 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: (Sabrina Marino)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 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.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.