. 1990 Spring;11(3):31–41.

Table 6. Estimated coefficients for a categorized teaching variable, from selected regression models of hospital payment.

Resident-to-bed ratio	Dependent variable is MOCC			Dependent variable is STDCSTO

	Payment model¹	Fully specified model²	Fully specified model³	Payment model¹	Fully specified model²	Fully specified model³

	Coefficient
0–0.1	0.06	0.03	0.03	0.05	0.02	0.02
0.1–0.2	0.10	0.05	0.06	0.07	0.02	0.02
0.2–0.3	0.19	0.15	0.14	0.14	0.08	0.07
0.3–0.4	0.24	0.19	0.14	0.20	0.15	0.10
0.4–0.5	0.29	0.31	0.22	0.24	0.25	0.17
0.5 or greater	0.32	0.31	0.22	0.24	0.25	0.17

Regression includes URBAN, CMI, WI, and DSHVARS when MOCC is the dependent variable, URBAN and DSHVARS when STDCSTO is the dependent variable.

Also includes MPOP1, MPOP2, MPOP3, CC, BEDS, LOWIN, and LOWIN × URB>99.

Also includes a variable representing whether a hospital is university affiliated and a member of the Council of Teaching Hospitals. The coefficient of this variable is 0.11 when MOCC is the dependent variable and 0.09 when STDCSTO is the dependent variable.

NOTES: Variable names and definitions are shown in Table 1. All coefficients are statistically significant. In these regressions, each hospital's observation is weighted by the number of its Medicare discharges.

SOURCE: Health Care Financing Administration, Bureau of Data Management and Strategy: Data from the Medicare Provider Analysis and Review file, Medicare Cost Reports, and the Provider-Specific file.