IDEAS home Printed from https://ideas.repec.org/p/bep/unimip/unimi-1002.html
   My bibliography  Save this paper

A Proposal for Setting-up Indicators in the Presence of Missing Data: the Case of Vulnerability Indicators

Author

Listed:
  • Pieralda Ferrari

    (department of economics, business and statistics)

  • Paola Annoni
  • Sergio Urbisci

Abstract

A procedure for the construction of an indicator in the presence of structured missing data is proposed. In particular, we face the problem of creating a ‘measure’ of the damage degree of valuable historical-architectonical buildings on the basis of the observation of several ordinal variables. Our proposal is the jointly use of Nonlinear PCA and an imputation method for missing data treatment. The adopted procedure can be generally applied when an indicator is needed on the basis of the observation of ordinal, but also nominal or numerical, variables, which are deeply interrelated and are affected by systematic missing data. It has the nice feature of treating missing data according to the relevance of variables affected by missing observations and, at the same time, it preserves all the properties of Nonlinear PCA without missing data. Furthermore, the method provides category quantifications and variable loadings that could be used for future inventory of buildings (in general of ‘units’) not included in the initial survey.

Suggested Citation

  • Pieralda Ferrari & Paola Annoni & Sergio Urbisci, 2005. "A Proposal for Setting-up Indicators in the Presence of Missing Data: the Case of Vulnerability Indicators," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1002, Universitá degli Studi di Milano.
    • Handle: RePEc:bep:unimip:unimi-1002
    Note: oai:cdlib1:unimi-1002
    as

    Download full text from publisher

    File URL: http://services.bepress.com/unimi/statistics/art1
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Pieralda FERRARI & Paola ANNONI, 2005. "Missing data in optimal scaling," Departmental Working Papers 2005-19, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.

    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:bep:unimip:unimi-1002. 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/damilit.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.