Data set containing the occupancy rate (utilization) and covariates of 377 nursing homes in Wisconsin between 1995 and 2001.
data.frame containing the nursing home identification
ID), the occupancy rate (
Rate; see Sun et
al. (2008, Equation (7)) for how this is computed), the logarithmic
number of beds of the nursing home (
LnNumBed), the logarithmic
net square foot of the nursing home (
LnSqrFoot), the cost
report year (
CRYear), indicators whether the nursing home runs
on a for-profit basis (
Pro), whether it is tax exempt
TaxExempt), whether it has self funding of insurance
SelfIns), whether it is accredited as Medicare Certified
MCert) and whether it is located in an urban environment
Urban); see Sun et al. (2008, Table 2).
Wisconsin Department of Health and Family Services (by now named Wisconsin Department of Health Services)
Sun, J., Frees, E. W. and Rosenberg, M. A. (2008) Heavy-tailed longitudinal data modeling using copulas. Insurance: Mathematics and Economics 42, 817–830.
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