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Explaining Differences in Remuneration Rates of Nursing Homes in Germany

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  • Mennicken, Roman
  • Augurzky, Boris
  • Rothgang, Heinz
  • Wasem, Jürgen

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 differ 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.

Suggested Citation

  • Mennicken, Roman & Augurzky, Boris & Rothgang, Heinz & Wasem, Jürgen, 2010. "Explaining Differences in Remuneration Rates of Nursing Homes in Germany," Ruhr Economic Papers 215, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    • Handle: RePEc:zbw:rwirep:215
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    Cited by:

    1. Arndt R. Reichert & Magdalena A. Stroka, 2018. "Nursing home prices and quality of care — Evidence from administrative data," Health Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 129-140, January.
    2. Herr, Annika & Nguyen, Thu-Van & Schmitz, Hendrik, 2015. "Does quality disclosure improve quality? Responses to the introduction of nursing home report cards in Germany," DICE Discussion Papers 176, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    3. Thomas Bauer & Magdalena Stroka, 2013. "Female labour supply and nursing home prices," Health Care Management Science, Springer, vol. 16(3), pages 258-270, September.
    4. Stroka-Wetsch, Magdalena A. & Talmann, Anna & Linder, Roland, 2016. "Does competition in the out-patient sector improve quality of medical care? Evidence from administrative data," Ruhr Economic Papers 638, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    5. Karmann, Alexander & Sugawara, Shinya, 2022. "Comparing the German and Japanese nursing home sectors: Implications of demographic and policy differences," CEPIE Working Papers 02/22, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    6. Herr, Annika & Hottenrott, Hanna, 2016. "Higher prices, higher quality? Evidence from German nursing homes," Health Policy, Elsevier, vol. 120(2), pages 179-189.
    7. Herr, A. & Saric, A., 2016. "The Welfare Effects of Single Rooms in German Nursing Homes: A Structural Approach," Health, Econometrics and Data Group (HEDG) Working Papers 16/23, HEDG, c/o Department of Economics, University of York.
    8. Herr, Annika & Nguyen, Thu-Van & Schmitz, Hendrik, 2016. "Public reporting and the quality of care of German nursing homes," Health Policy, Elsevier, vol. 120(10), pages 1162-1170.
    9. Visintin, Stefano & Elvira, Marta & Rodríguez-Lluesma, Carlos, 2013. "Job (in)stability in the European Long-Term Care Workforce," IESE Research Papers D/1078, IESE Business School.
    10. Stroka, Magdalena A., 2021. "Regional variation in the supply of general and medical practitioners and its consequences for inpatient service utilization," Ruhr Economic Papers 877, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

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    More about this item

    Keywords

    nursing homes; determinants of remuneration rates; regional price differences;
    All these keywords.

    JEL classification:

    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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