IDEAS home Printed from https://ideas.repec.org/a/gde/journl/gde_v56_n1-2_p211-234.html
   My bibliography  Save this article

Statistical Evidence on Regional Cohesion in Italy

Author

Listed:
  • Marcello D'Amato

    (University of Salerno)

  • Barbara Pistoresi

    (University of Bologna and University of Modena)

Abstract

In this paper we study regional dynamics of output in Italy on a sample period spanning from 1970 to 1992 by using a dynamic principal components analysis and a coherence analysis. We find the presence of a basic common economic structure but also the presence of sharp heterogeneity both at low and high frequencies of the growth cycles. Geographical proximity plays a major role in shaping dynamic patterns of regional output in Italy. However, we do not find a clear-cut dualistic divide across Italian regions, particularly at low frequencies.

Suggested Citation

  • Marcello D'Amato & Barbara Pistoresi, 1997. "Statistical Evidence on Regional Cohesion in Italy," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 56(3-4), pages 211-234, December.
    • Handle: RePEc:gde:journl:gde_v56_n1-2_p211-234
    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. De Siano, Rita & D'Uva, Marcella, 2009. "Regional convergence in Italy: time series approaches," MPRA Paper 20397, University Library of Munich, Germany.
    2. Patrizia Margani & Roberto Ricciuti, 2001. "Further Evidence on Convergence across Italian Regions," ERSA conference papers ersa01p104, European Regional Science Association.

    More about this item

    Keywords

    dynamic principal components method; coherence and correlation analysis; long- and shor-run growth cycles; comovements;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • O50 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - General

    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:gde:journl:gde_v56_n1-2_p211-234. 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: Erika Somma (email available below). General contact details of provider: http://www.gde.unibocconi.it/ .

    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.