Predicting bankruptcy in the Texas nursing facility industry
Abstract
Approximately 50% of nursing facilities in Texas petitioned for bankruptcy during the 1998-2004 period. Using a logit regression model tested for robustness, we find nursing facilities that are profit-seekers, chain members, pay higher than average wage rates, accept more intensive-care residents and obtain a larger than average portion of their funding from public sources are highly vulnerable to negative changes in regulatory policy decisions on Medicare and Medicaid reimbursement. Larger facilities having higher than average occupancy rates and quality of care are less susceptible to adverse decisions. The model correctly classifies a facility as either bankrupt or solvent in about 75% of cases. We also examine the duration of bankruptcy using accelerated failure-time models. It appears that the duration of bankruptcy depends on location, out-of-state ownership, length of ownership, volume of resident days supplied, total cost and proportion of revenues from Medicaid.Download Info
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Bibliographic Info
Article provided by Elsevier in its journal The Quarterly Review of Economics and Finance.
Volume (Year): 49 (2009)
Issue (Month): 3 (August)
Pages: 1047-1064
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Web page: http://www.elsevier.com/locate/inca/620167
Related research
Keywords: Bankrupt Nursing facilities Logit regression;References
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- Abbas, Qaiser & Rashid, Abdul, 2011. "Modeling Bankruptcy Prediction for Non-Financial Firms: The Case of Pakistan," MPRA Paper 28161, University Library of Munich, Germany.
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