IDEAS home Printed from https://ideas.repec.org/p/rsw/rswwps/rswwps67.html
   My bibliography  Save this paper

Organizational Data

Author

Listed:
  • Stefan Liebig

Abstract

Organizational data describe central characteristics of organizations, their internal structures and processes as well as their behavior as corporate actors in different social and economic contexts. Firm and enterprise data are the most frequently used type of organizational data, but there is also a growing interest in data on schools, universities, and hospitals in the economic and social science research. In the last several years, there has been a substantial improvement in the accessibility and scientific usability of organizational data from official statistics. However, nonofficial organizational data produced within publicly funded research projects are practically impossible to obtain for secondary analyses. There is no documentation of the existing stock of non-official organizational data, and the methodological standards used for organizational research in Germany are low compared to the standards of international research. Against this background, it is recommended that efforts be focused on documenting and archiving the existing non-official organizational data for secondary analyses and on establishing higher methodological standards within this research field.

Suggested Citation

  • Stefan Liebig, 2009. "Organizational Data," Working Paper Series of the German Council for Social and Economic Data 67, German Council for Social and Economic Data (RatSWD).
  • Handle: RePEc:rsw:rswwps:rswwps67
    as

    Download full text from publisher

    File URL: http://www.ratswd.de/download/RatSWD_WP_2009/RatSWD_WP_67.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. repec:zbw:rwimat:045 is not listed on IDEAS
    2. Bender, Stefan & Fertig, Michael & Görlitz, Katja & Huber, Martina & Hummelsheim, Stefan & Knerr, Petra & Schmucker, Alexandra & Schröder, Helmut, 2008. "WeLL - Berufliche Weiterbildung als Bestandteil Lebenslangen Lernens : Projektbericht," FDZ Methodenreport 200805_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Ulrich Kaiser & Joachim Wagner, 2008. "Neue Möglichkeiten zur Nutzung vertraulicher amtlicher Personen- und Firmendaten," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 9(3), pages 329-349, August.
    4. Joachim Wagner, 2008. "Improvements and Future Challenges for the Research Infrastructure in the Field Firm Level Data," Working Paper Series in Economics 88, University of Lüneburg, Institute of Economics.
    5. Sascha O. Becker & Klaus Wohlrabe, 2008. "European Data Watch: Micro Data at the Ifo Institute for Economic Research – The “Ifo Business Survey”, Usage and Access," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 128(2), pages 307-319.
    6. Bender, Stefan & Fertig, Michael & Görlitz, Katja & Huber, Martina & Hummelsheim, Stefan & Knerr, Petra & Schmucker, Alexandra & Schröder, Helmut, 2008. "WeLL - berufliche Weiterbildung als Bestandteil lebenslangen Lernens," RWI Materialien 45, RWI - Leibniz-Institut für Wirtschaftsforschung.
    7. Drechsler, Jörg & Dundler, Agnes & Bender, Stefan & Rässler, Susanne & Zwick, Thomas, 2007. "A new approach for disclosure control in the IAB Establishment Panel : multiple imputation for a better data access," IAB Discussion Paper 200711, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    firms; organizations; methods of organizational research; micro data; secondary analysis;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:rsw:rswwps:rswwps67. 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: (RatSWD). General contact details of provider: http://edirc.repec.org/data/rtswdde.html .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.