Advanced Search
MyIDEAS: Login

Explaining Differences in Remuneration Rates of Nursing Homes in Germany

Contents:

Author Info

  • Roman Mennicken

    ()

  • Boris Augurzky
  • Heinz Rothgang
  • Jürgen Wasem

Abstract

Remuneration rates of German nursing homes are prospectively negotiated between long-term care insurance (LTCI) and social assistance on the one side and nursing homes on the other. They diff er considerably across regions while there is no evidence for substantial differences in care provision. This paper explains the differences in the remuneration rates by observable characteristics of the nursing home, its residents and its region with a special focus on the largest federal state North-Rhine-Westphalia, in which the most expensive nursing homes are located. We use data from the German Federal Statistical Office for 2005 on all nursing homes that off er full-time residential care for the elderly. We find that differences in remuneration rates can partly be explained by exogenous factors. Controls for residents, nursing homes, and district characteristics explain roughly 30% of the price difference; 40% can be ascribed to a regionally different kind of negotiation between nursing homes and LTCI. 30% of the raw price difference remains unexplained by observable characteristics.

Download Info

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://repec.rwi-essen.de/files/REP_10_215.pdf
Download Restriction: no

Bibliographic Info

Paper provided by Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen in its series Ruhr Economic Papers with number 0215.

as in new window
Length: 17 pages
Date of creation: Oct 2010
Date of revision:
Handle: RePEc:rwi:repape:0215

Contact details of provider:
Postal: Hohenzollernstraße 1-3, 45128 Essen
Phone: (0201)8149-0
Fax: (0201)8149-200
Email:
Web page: http://www.rwi-essen.de/
More information through EDIRC

Order Information:
Web: http://www.rwi-essen.de/publikationen/

Related research

Keywords: Nursing homes; determinants of remuneration rates; regional price differences;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

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

Cited by:
  1. Thomas Bauer & Magdalena Stroka, 2013. "Female labour supply and nursing home prices," Health Care Management Science, Springer, vol. 16(3), pages 258-270, September.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:rwi:repape:0215. 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: (Sabine Weiler).

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.