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. 1983 Spring;4(3):1–58.

Table A-14. Measures of Central Tendency and Variability for Year-to-Year Percent Changes in Real National Health Expenditures by Type of Expenditure, 1966-19811 2.

Type of Real National Health Expenditure Measures of Variability3

Measures of Central Tendency Standard Deviation Standard Error Coefficient of Variation of The Mean4

Mean Median






  Total 5.5% 4.7% 1.4% 0.367% 0.067
Personal Health Care
(Total Systems Cost)
5.5 4.8 1.5 0.386 0.070
Hospital Care 5.7 5.4 1.8 0.454 0.079
 Community Hospital Care 7.0 6.4 2.3 0.605 0.086
  Inpatient 6.7 5.9 2.4 0.624 0.093
  Outpatient 9.9 10.3 3.2 0.835 0.084
 Federal Hospital Care 3.6 3.0 4.6 1.186 0.328
Physicians' Services 4.1 4.2 1.9 0.493 0.119
Dentists' Services 5.0 4.4 3.0 0.764 0.154
Other Professional Services 4.4 5.8 4.0 1.022 0.234
Drugs and Medical Sundries 5.2 5.3 3.4 0.879 0.170
Eyeglasses and Appliances 5.6 6.5 5.3 1.375 0.246
Nursing-Home Care 8.1 7.9 2.9 0.749 0.093
  Nursing-Home Care Excluding ICF-MR 7.4 6.8 3.3 0.842 0.114
Other Health Services 4.3 3.3 5.9 1.524 0.357
Program Administration and Net Cost of Insurance 7.1 7.5 15.3 3.943 0.558
Government Public Health Activities 7.1 7.2 6.0 1.549 0.217
Research 1.8 1.8 3.5 0.895 0.495
Construction of Medical Facilities 0.8 −0.6 8.0 2.067 2.733
1

There are 16 annual percent changes for the period 1966-1981.

2

Real health expenditures were calculated by deflating current-dollar health expenditures by the price variables displayed in Table A-13.

3

ln textbook examples, measures of variability typically measure sampling variability, that is, variations that might occur by chance because a sample of the population is surveyed. As calculated in this paper (and for typical applied time-series analyses) measures of variability also reflect variability associated with evolving causal structures and variability associated with various types of nonsampling errors such as data processing mistakes, nonresponse, misreporting by respondents, etc. The calculated measures are approximate and are meant as a general guide. It is important to keep in mind the potential dangers of extrapolating historical measures of variability into the future. That is, there can be no guarantee that future variability will replicate historical variability.

4

For cautions in using the coefficient of variation when the mean of the variable measures change, see Kish (1965, pp. 47-49).