Table 3.

Logit regression output – Marginal Effects

	Pr(T)			Pr(I)			Pr(T|I)
	(1)	(2)	(3)	(4)	(5)	(6)	(7)	(8)	(9)
	Model 1	Model 2	Model 3	Model 1	Model 2	Model 3	Model 1	Model 2	Model 3
obesitas		− 0.0021	− 0.0020		− 0.0003	− 2e − 04		0.1925	0.1775
		(0.0049)	(0.0047)		(0.0038)	(0.0028)		(0.1391)	(0.1279)
childbirth		− 0.0013	− 0.0014		− 0.0002	− 2e − 04		− 0.1011 +	− 0.0202
		(0.0030)	(0.0033)		(0.0023)	(0.0022)		(0.0609)	(0.0312)
age_cat4160		0.0020	0.0019		0.0011	8e − 04		− 0.2166 *	− 0.1963 +
		(0.0047)	(0.0044)		(0.0135)	(0.0099)		(0.1091)	(0.1031)
age_cat6170		0.0009	0.0009		0.0012	9e − 04		− 0.3202 **	− 0.3047 **
		(0.0022)	(0.0020)		(0.0142)	(0.0102)		(0.1041)	(0.1083)
age_cat70		0.0000	− 0.0001		0.0009	6e − 04		− 0.3792 ***	− 0.3510 **
		(0.0002)	(0.0004)		(0.0107)	(0.0068)		(0.1043)	(0.1110)
incomelow			0.0006			1e − 04			0.0007
			(0.0014)			(0.0008)			(0.0099)
incomemiddle			0.0007			0			0.0148
			(0.0016)			(0.0004)			(0.0122)
seslow			− 0.0005			0			− 0.0185
			(0.0012)			(0.0001)			(0.0130)
sesmiddle			− 0.0004			0			− 0.0060
			(0.0010)			(0.0003)			(0.0074)
female			0.0011			4e − 04			− 0.1687 +
			(0.0025)			(0.0046)			(0.1006)
urban2			− 0.0002			− 1e − 04			0.0081
			(0.0005)			(0.0008)			(0.0100)
urban3			0.0002			0			0.0082
			(0.0006)			(0.0000)			(0.0116)
urban4			− 0.0008			− 1e − 04			0.0132
			(0.0018)			(0.0008)			(0.0150)
overweight_middle					0.0000	0		0.0476 +	0.0501
					(0.0002)	(0.0001)		(0.0285)	(0.0306)
overweight_high					− 0.0001	0		0.0529	0.0516
					(0.0009)	(0.0006)		(0.0330)	(0.0328)
Num.Obs	515,696	515,696	515,696	515,696	515,696	515,696	27,067	27,067	27,067
AIC	26,300.8	26,063.4	25,909.7	15,359.9	14,690.5	14,195.6	29,410.4	27,652.0	26,298.6
Wald-test p-value	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00

Footnote: Regional dummy variables omitted from Table 3. Hence, Model 1 for all three groups of regressions has no presented variables