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

The Research Potential of New Types of Enterprise Data based on Surveys from Official Statistics in Germany

  • Joachim Wagner

A new generation of data sets became available recently in the research data centres of the German statistical offices. These new data combine information for firms gathered in different surveys (or from other sources) that could not be analyzed jointly before. This paper offers a short description of these data, and gives examples of their use to demonstrate their research potential. Furthermore, and looking ahead to the next generation of data, it discusses an ongoing project, KombiFiD, that will for the first time offer access to linked firm level data collected by different data producing public institutions.

(This abstract was borrowed from another version of this item.)

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://dx.doi.org/10.3790/schm.130.1.133
Download Restriction: Access to full text is restricted to subscribers (2008 onwards); Pay-per-view access from http://www.genios.de (2000 onwards) and http://ejournals.duncker-humblot.de/loi/schm (2008 onwards)

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 Duncker & Humblot, Berlin in its journal Schmollers Jahrbuch.

Volume (Year): 130 (2010)
Issue (Month): 1 ()
Pages: 133-142

as
in new window

Handle: RePEc:aeq:aeqsjb:v130_y2010_i1_q1_p133-142
Contact details of provider: Web page: http://www.duncker-humblot.de

Order Information: Web: http://www.duncker-humblot.de/index.php/zeitschriften/wirtschafts-undsozialwissenschaften/schmollersjahrbuch-1.html Email:


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. Anne-Kathrin Last & Heike Wetzel, 2010. "The efficiency of German public theaters: a stochastic frontier analysis approach," Journal of Cultural Economics, Springer, vol. 34(2), pages 89-110, May.
  2. 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, 08.
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:aeq:aeqsjb:v130_y2010_i1_q1_p133-142. 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: (Gabriele Freudenmann)

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.