Table 2.

Effects of base rate changes on number of admissions

	Log number of admissions
	Baseline	With additional trends	Without Hesse and Bavaria	No change of owner type	Without covariates	Without price competitors
	(1)	(2)	(3)	(4)	(5)	(6)
Δbase rate (2004–2009)	−0.136**	−0.138**	−0.155***	−0.132**	−0.133**	−0.132**
	(0.055)	(0.057)	(0.060)	(0.058)	(0.055)	(0.055)
Year effects	Yes	Yes	Yes	Yes	Yes	Yes
Regional characteristics	Yes	Yes	Yes	Yes	No	Yes
Average price of competitors	Yes	Yes	Yes	Yes	No	No
Trends by regional and hosp. charact.	No	Yes	No	No	No	No
Hospital fixed effects	Yes	Yes	Yes	Yes	Yes	Yes
N (hospitals)	801	801	689	755	801	801

Note. The table shows estimation coefficients of a fixed effects linear regression model. The sample includes observations for the years 2004 and 2009. Δbase rate (2004–2009) is defined as log(base rate 2009) − log(base rate 2004). 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. Trends by regional and hospital characteristics are captured by interaction terms of an indicator for the year 2009 and the following regional and hospital characteristics (measured in the year 2004): average age of men, average age of women, population density, unemployment rate, large number of beds, a high Herfindahl index, public ownership, and not‐for‐profit ownership. The Herfindahl index refers to the year 2003. Parentheses show robust standard errors clustered at the hospital level.

^* Significant at 10%.

^** Significant at 5%.

^*** Significant at 1%.