IDEAS home Printed from https://ideas.repec.org/a/ids/ijcome/v9y2019i1-2p5-28.html
   My bibliography  Save this article

Measuring uncertainties: a theoretical approach

Author

Listed:
  • Carolina Facioni
  • Isabella Corazziari
  • Filomena Maggino

Abstract

When our aim is to draw the possible developments of future events, we are faced with a practical obstacle. Indeed, we cannot have any empirical experience of the future. Have we, therefore, to be inferred that forecasting, exploring future or, better: exploring futures, or anticipating futures have not to be considered activities of a scientific kind? Answer to such a difficult question requires a multidisciplinary approach, where statistical models, methodology of social science and of course statistics and sociology as a whole - are enhanced in their ability to express the change - and sometimes the risk that the change itself implies. A great help in understanding complexity, and trends, comes from a method for multi-way data, based on the joint application of a factorial analysis and regression over time, called dynamic factor analysis (DFA).

Suggested Citation

  • Carolina Facioni & Isabella Corazziari & Filomena Maggino, 2019. "Measuring uncertainties: a theoretical approach," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 9(1/2), pages 5-28.
    • Handle: RePEc:ids:ijcome:v:9:y:2019:i:1/2:p:5-28
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=97797
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    Citations

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


    Cited by:

    1. Carolina Facioni & Isabella Corazziari, 2024. "The demographic crisis can affect quality of life in Italy: a multi-dimensional analysis," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 78(2), pages 52-62, April-Jun.
    2. Giuseppe Gabrielli & Anna Paterno & Silvana Salvini & Isabella Corazziari, 2021. "Demographic trends in less and least developed countries: Convergence or divergence?," Journal of Population Research, Springer, vol. 38(3), pages 221-258, September.

    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:ids:ijcome:v:9:y:2019:i:1/2:p:5-28. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=311 .

    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.