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

Uno studio della non autosufficienza a partire dai dati dell’Indagine Multiscopo: il caso dell’Umbria

  • Giorgio E. Montanari


    (University of Perugia)

  • M. Giovanna Ranalli


    (University of Perugia)

Registered author(s):

    This paper proposes a methodology for the estimation of the number of people that show a severe disability and are dependent, using data coming from the Italian National Survey on Health conditions and Appeal to Medicare. Dependency is treated as a latent trait hidden behind a set of items that survey difficulties in movements and in accomplishing everyday tasks (Activities of daily living). Latent class models are used to classify the population according to different levels of disability. The analysis provides a good classification using four classes. Looking at posterior probabilities, people belonging to each class may be labelled as being without disability, with light disability, with some dependence, with severe disability (dependent). The survey provides reliable estimates at regional – NUTS 2 – level. Estimating the amount of population within each latent class at sub-regional level, e.g. sanitary districts, requires small area estimation techniques. To this end, a multinomial unit level model is used with individual level covariates.

    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: no

    Article provided by ISTAT - Italian National Institute of Statistics - (Rome, ITALY) in its journal Rivista di Statistica Ufficiale.

    Volume (Year): 12 (2010)
    Issue (Month): 1 (April)
    Pages: 53-71

    in new window

    Handle: RePEc:isa:journl:v:12:y:2010:i:1:p:53-71
    Contact details of provider: Postal: Via Cesare Balbo 16, Roma
    Phone: +390646732606
    Web page:

    More information through EDIRC

    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:isa:journl:v:12:y:2010:i:1:p:53-71. 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: (Stefania Rossetti)

    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.