Efficiency estimation with panel quantile regression: An application using longitudinal data from nursing homes in Ontario, Canada
Adrian Rohit Dass,
Peter Coyte and
No 170003, Working Papers from Canadian Centre for Health Economics
This paper investigates the technical efficiency of nursing homes on Ontario, Canada. We apply Quantile Regression (QR) with a Mundlak specification to a panel dataset of 627 nursing homes, observed over 15 years. Results from the QR models found chain affiliation and urban location to be positive predictors of technical efficiency in the context of a case-mix adjusted volume based outcome measure. The effect of profit status varied across the conditional quantiles. The analysis presented in this paper aims to demonstrate a novel approach to efficiency measurement, and suggests that cost containment strategies (e.g., prospective reimbursement) and restrictions on long-term care bed supply in the market may continue to foster the expansion of nursing home chains in this sector.
Keywords: long-term care; nursing homes; technical efficiency; quantile regression; panel data (search for similar items in EconPapers)
Pages: 39 pages
New Economics Papers: this item is included in nep-eff
References: Add references at CitEc
Citations: Track citations by RSS feed
Published Online, April 2017
Downloads: (external link)
https://www.canadiancentreforhealtheconomics.ca/wp ... 017/04/Hsu-et-al.pdf First version, 2017 (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:cch:wpaper:170003
Access Statistics for this paper
More papers in Working Papers from Canadian Centre for Health Economics Contact information at EDIRC.
Bibliographic data for series maintained by Adrian Rohit Dass ().