Details
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 179-189 |
Seitenumfang | 11 |
Fachzeitschrift | HEALTH POLICY |
Jahrgang | 120 |
Ausgabenummer | 2 |
Frühes Online-Datum | 14 Jan. 2016 |
Publikationsstatus | Veröffentlicht - 1 Feb. 2016 |
Extern publiziert | Ja |
Abstract
Objectives: This study investigates the relationship between prices and quality of 7400 German nursing homes. Method: We use a cross section of public quality reports for all German nursing homes, which had been evaluated between 2010 and 2013 by external institutions. Our analysis is based on multivariate regressions in a two stage least squares framework, where we instrument prices to explain their effect on quality controlling for income, nursing home density, demographics, labour market characteristics, and infrastructure at the regional level. Results: Descriptive analysis shows that prices and quality do not only vary across nursing homes, but also across counties and federal states and that quality and prices correlate positively. Second, the econometric analysis, which accounts for the endogenous relation between negotiated price and reported quality, shows that quality indeed positively depends on prices. In addition, more places in nursing homes per people in need are correlated with both lower prices and higher quality. Finally, unobserved factors at the federal state level capture some of the variation of reported quality across nursing homes. Conclusion: Our results suggest that higher prices increase quality. Furthermore, since reported quality and prices vary substantially across federal states, we conclude that the quality and prices of long-term care facilities may well be compared within federal states but not across.
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in: HEALTH POLICY, Jahrgang 120, Nr. 2, 01.02.2016, S. 179-189.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Higher prices, higher quality? Evidence from German nursing homes
AU - Herr, Annika
AU - Hottenrott, Hanna
N1 - Funding Information: We thank Boris Augurzky, Amela Saric, Hendrik Schmitz, the par-ticipants of the DIBOGS workshop 2015, Bielefeld and two anonymousreferees for helpful comments. Annika Herr gratefully acknowledgesfinancial support by the BMBF under the research grant 01EH1102B. Thepaper is based on research conducted while Hanna Hottenrott was affili-ated at the Düsseldorf Institute for Competition Economics (DICE).
PY - 2016/2/1
Y1 - 2016/2/1
N2 - Objectives: This study investigates the relationship between prices and quality of 7400 German nursing homes. Method: We use a cross section of public quality reports for all German nursing homes, which had been evaluated between 2010 and 2013 by external institutions. Our analysis is based on multivariate regressions in a two stage least squares framework, where we instrument prices to explain their effect on quality controlling for income, nursing home density, demographics, labour market characteristics, and infrastructure at the regional level. Results: Descriptive analysis shows that prices and quality do not only vary across nursing homes, but also across counties and federal states and that quality and prices correlate positively. Second, the econometric analysis, which accounts for the endogenous relation between negotiated price and reported quality, shows that quality indeed positively depends on prices. In addition, more places in nursing homes per people in need are correlated with both lower prices and higher quality. Finally, unobserved factors at the federal state level capture some of the variation of reported quality across nursing homes. Conclusion: Our results suggest that higher prices increase quality. Furthermore, since reported quality and prices vary substantially across federal states, we conclude that the quality and prices of long-term care facilities may well be compared within federal states but not across.
AB - Objectives: This study investigates the relationship between prices and quality of 7400 German nursing homes. Method: We use a cross section of public quality reports for all German nursing homes, which had been evaluated between 2010 and 2013 by external institutions. Our analysis is based on multivariate regressions in a two stage least squares framework, where we instrument prices to explain their effect on quality controlling for income, nursing home density, demographics, labour market characteristics, and infrastructure at the regional level. Results: Descriptive analysis shows that prices and quality do not only vary across nursing homes, but also across counties and federal states and that quality and prices correlate positively. Second, the econometric analysis, which accounts for the endogenous relation between negotiated price and reported quality, shows that quality indeed positively depends on prices. In addition, more places in nursing homes per people in need are correlated with both lower prices and higher quality. Finally, unobserved factors at the federal state level capture some of the variation of reported quality across nursing homes. Conclusion: Our results suggest that higher prices increase quality. Furthermore, since reported quality and prices vary substantially across federal states, we conclude that the quality and prices of long-term care facilities may well be compared within federal states but not across.
KW - Care quality
KW - Long-term care
KW - Nursing homes
KW - Price
KW - Two-stage least squares
UR - http://www.scopus.com/inward/record.url?scp=84995494097&partnerID=8YFLogxK
U2 - 10.1016/j.healthpol.2016.01.008
DO - 10.1016/j.healthpol.2016.01.008
M3 - Article
C2 - 26810110
AN - SCOPUS:84995494097
VL - 120
SP - 179
EP - 189
JO - HEALTH POLICY
JF - HEALTH POLICY
SN - 0168-8510
IS - 2
ER -