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The impact of ownership type on the cost and quality of nursing home care in the United States

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dc.contributor.advisor McMullen, B. Starr
dc.creator Rosetti, Maureen C. O'Keeffe
dc.date.accessioned 2012-11-07T20:55:45Z
dc.date.available 2012-11-07T20:55:45Z
dc.date.copyright 1995-12-06
dc.date.issued 1995-12-06
dc.identifier.uri http://hdl.handle.net/1957/34932
dc.description Graduation date: 1996 en_US
dc.description.abstract The overall objective of this research was to analyze the effect of ownership status on 1) quality of care delivered, 2) the cost of nursing homes in the United States and 3) wages to Registered Nurses. The model developed here uses a two stage least squares technique to correct for observed endogeneity problems. Results show that a model which includes ownership classification interactively with all independent variables, performs better than a model which simply uses dummies to proxy for ownership status. Nonprofit homes were found to have higher direct patient care expenditures than profit homes. Non-profits were also found to have a more specialized nursing force. Both of these results suggest that non-profits may actually provide a higher quality of care than for profit enterprises. No support was found for the hypothesis that nonprofits have more philanthropic wage policies. en_US
dc.language.iso en_US en_US
dc.subject.lcsh Nursing home care -- United States en_US
dc.subject.lcsh Nursing homes -- United States -- Cost control en_US
dc.subject.lcsh Nursing homes, Proprietary -- United States en_US
dc.title The impact of ownership type on the cost and quality of nursing home care in the United States en_US
dc.type Thesis/Dissertation en_US
dc.degree.name Master of Science (M.S.) in Economics en_US
dc.degree.level Master's en_US
dc.degree.discipline Interdisciplinary Studies en_US
dc.degree.grantor Oregon State University en_US
dc.description.digitization File scanned at 300 ppi (Monochrome) using ScandAll PRO 1.8.1 on a Fi-6670 in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR. en_US
dc.description.peerreview no en_us


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