IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Measuring Research Intensity from Anonymized Data: Does Multiplicative Noise with Factor Structure Save Results Regarding Quotients?

  • Gerd Ronning

    ()

    (Universität Tübingen)

Registered author(s):

    Economic researchers often consider quotients like R&D investment divided by sales which could be used to measure “research intensity” of firms if available. However, data on research in particular are highly confidential and would not be released in original form. Therefore scientific use files have to be generated from anonymized micro data. The paper considers joint anonymization of all variables by multiplicative noise which stems from a bimodal mixture distribution and can be regarded as an error model with factor structure. It is shown that quotients such as research intensity are not modified considerably by this procedure. However, already quotients from original data can give quite misleading results which is illustrated by simulation results and an empirical example using the German Cost Structure Survey.

    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: http://www.wiso-net.de/webcgi?START=A60&DOKV_DB=ZECO&DOKV_NO=JFNSJFNS2008090064422141028302718231&DOKV_HS=0&PP=1
    File Function: Main text
    Download Restriction: Access via GENIOS - German Business Information - http://www.genios.de/r_startseite/index.ein

    File URL: http://search.ebscohost.com/login.aspx?direct=true&db=ecn&AN=1038590&site=ehost-live
    File Function: Main text
    Download Restriction: Access via EBSCOhost Econlit - http://www.ebscohost.com/

    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 Justus-Liebig University Giessen, Department of Statistics and Economics in its journal Journal of Economics and Statistics.

    Volume (Year): 228 (2008)
    Issue (Month): 5+6 (December)
    Pages: 644-653

    as
    in new window

    Handle: RePEc:jns:jbstat:v:228:y:2008:i:5-6:p:644-653
    Contact details of provider: Postal: Licher Straße 74, 35394 Gießen
    Phone: +49 (0)641 99 22 001
    Fax: +49 (0)641 99 22 009
    Web page: http://wiwi.uni-giessen.de/home/oekonometrie/Jahrbuecher/

    More information through EDIRC

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as in new window
    1. Gottschalk, Sandra, 2002. "Anonymisierung von Unternehmensdaten: Ein Überblick und beispielhafte Darstellung anhand des Mannheimer Innovationspanels," ZEW Discussion Papers 02-23, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    Full references (including those not matched with items on IDEAS)

    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:jns:jbstat:v:228:y:2008:i:5-6:p:644-653. 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: (Peter Winker)

    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.