The impact of hospital revenue on the increase in Caesarean sections in Norway. A panel data analysis of hospitals 1976-2005

Table 3 Regressions with the proportion of Caesarean sections per hospital as the dependent variable.

Variable	Main analysis		Imputation for missing values		Test for whether the effect of hospital revenue per bed varies according to number of births
	I		II		III
Intercept	-1.262	**	-1.207	**	-3.210	**
	(2.38)		(2.45)		(3.12)
rev_hosp (lagged)	0.137	**	0.153	**	0.462	**
	(2.38)		(2.63)		(2.88)
age_le20¹	-0.012		0.014		-0.016
	(0.36)		(0.42)		(0.48)
age_hi35¹	0.111	**	0.123	**	0.110	**
	(2.78)		(3.12)		(2.77)
edu_univ²	-0.064		0.015		-0.094
	(0.78)		(0.20)		(1.13)
edu_uss²	-0.372	**	-0.361	**	-0.424	***
	(2.97)		(2.88)		(3.34)
weight_le2500³	-0.013		-0.009		-0.002
	(0.53)		(0.39)		(0.11)
weight_hi4500³	0.052		0.036		0.053
	(1.59)		(1.12)		(1.61)
ab_present	0.316	****	0.316	****	0.300	****
	(10.80)		(10.81)		(9.95)
preeclam	0.126	****	0.122	****	0.130	****
	(6.57)		(6.34)		(6.77)
mult_birth	1.709	*	1.715	*	1.283
	(1.89)		(1.90)		(1.39)
no_births	-0.122	**	-0.106	**	0.153
	(3.06)		(2.65)		(1.15)
weekend	-0.345	***	-0.261	**	-0.333	**
	(3.34)		(2.92)		(3.23)
rev_hosp (lagged) × no_births					-0.046	**
					(2.17)
Number of observations	1260		1334		1260
Number of hospitals	46		46		46
R²	0.74		0.74		0.74

All variables ln transformed. Regression coefficients with t-values in brackets.
¹ Reference category: the proportion of mothers aged 20-35 years
² Reference category: the proportion of mothers with compulsory school education
³ Reference category: the proportion of babies with a birthweight 2500-4500 g
**** p < 0.0001
*** p < 0.001
** p < 0.05
* p < 0.10

ISSN: 1472-6963