Table 1.

Poisson regression analyses predicting total live births in Poland, San Borja, and Matlab. Bold values represent p < 0.05; s.e. represents standard error.

	Poland			San Borja			Matlab
	Coef.	s.e.	p-value	Coef.	s.e.	p-value	Coef.	s.e.	p-value
contraceptive use (ref = never used)
used contraceptives	0.02	0.04	0.60	0.10	0.05	0.06	0.13	0.06	0.04
unknown contraceptive use	0.25	0.16	0.11				−0.11	0.08	0.15
sibling fertility	0.03	0.01	0.01	0.03	0.02	0.16	0.03	0.01	<0.01
friends' fertility	0.03	0.01	<0.01	0.04	0.02	0.03	0.12	0.02	<0.01
women's work	0.05	0.04	0.27	0.03	0.07	0.68	−0.08	0.06	0.18
child mortality	−1.16	0.85	0.18	0.66	0.25	<0.01	0.03	0.01	<0.01
wealth	0.05	0.02	<0.01	−0.08	0.03	<0.01
income (log)							0.01	0.02	0.45
owns land							0.07	0.04	0.12
husband's education (ref = lowest level)
2	−0.12	0.10	0.22	−0.19	0.24	0.43	0.00	0.04	0.93
3	−0.21	0.11	0.05	−0.17	0.25	0.49	−0.09	0.04	0.03
4	−0.30	0.11	<0.01	−0.24	0.24	0.33	−0.14	0.07	0.04
5	−0.31	0.12	0.01	−0.39	0.26	0.14	−0.18	0.11	0.10
women's education (ref = lowest level)
2	0.08	0.10	0.41	−0.01	0.07	0.93	0.04	0.03	0.20
3	0.12	0.11	0.24	−0.15	0.07	0.03	0.01	0.05	0.79
4	0.02	0.11	0.89	−0.18	0.09	0.05	−0.26	0.15	0.09
5	−0.11	0.11	0.33	−0.14	0.15	0.35	0.00	0.19	0.99
age at first birth	−0.04	0.00	<0.01	−0.04	0.01	<0.01	−0.02	0.01	0.01
age	0.01	0.00	<0.01	0.02	0.00	<0.01	0.02	0.00	<0.01
constant	1.32	0.18	<0.01	1.17	0.26	<0.01	−0.05	0.32	0.88
n	1337			285			577