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. 2019 Nov 21;29(2):209–222. doi: 10.1002/hec.3973

Table 5.

Nonlinear effects of increasing and decreasing base rates

Log number of admissions Case‐mix index Log revenues
(1) (2) (3)
Δbase rate (2004–2009)*increasing base rates −0.189*** −0.198*** −0.371***
(0.057) (0.055) (0.063)
Δbase rate (2004–2009)*decreasing base rates 0.152 −0.928*** −0.516***
(0.135) (0.316) (0.136)
Year effects Yes Yes Yes
Regional characteristics Yes Yes Yes
Average base rate of competitors Yes Yes Yes
Hospital fixed effects Yes Yes Yes
N (hospitals) 801 801 801

Note. The table shows estimation coefficients of a fixed effects linear regression model. The model includes hospital fixed effects. The dependent variables are the logarithmized number of admissions (column 1), the case‐mix index (column 2), and the logarithmized revenues (Columns 3). Specifications refer to Equation (7). Regional indicators include average age of men, average age of women, population density, and unemployment rate. All regional characteristics are measured for a hospital's catchment area. Parentheses show robust standard errors, clustered at the hospital level.

*

Significant at 10%.

**

Significant at 5%.

***

Significant at 1%.