Technical efficiency in texas nursing facilities: A stochastic production frontier approach
Kris Knox (),
Eric Blankmeyer and
J. Stutzman
Journal of Economics and Finance, 2007, vol. 31, issue 1, 75-86
Abstract:
A rapidly aging U. S. population is straining the resources available for long term care and increasing the urgency of efficient operations in nursing homes. The scope for productivity improvements can be examined by estimating a stochastic frontier production function. We apply the methods of maximum likelihood and quantile regression to a panel of Texas nursing facilities and infer that the average productivity shortfall due to avoidable technical inefficiency is at least 8 percent and perhaps as large as 20 percent. Non-profit facilities are notably less productive than comparable facilities operated for profit, and the industry has constant returns to scale. Copyright Springer 2007
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (22)
Downloads: (external link)
http://hdl.handle.net/10.1007/BF02751513 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:jecfin:v:31:y:2007:i:1:p:75-86
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/12197/PS2
DOI: 10.1007/BF02751513
Access Statistics for this article
Journal of Economics and Finance is currently edited by James Payne
More articles in Journal of Economics and Finance from Springer, Academy of Economics and Finance Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().