Appendix Table A1.

Logistic regression models of between-wave changes as predictors of wanting to stop childbearing at T2, separately by desire at T1 (parameter estimates and standard errors)

		Do not want to stop			Want to stop
		b	SE		b	SE
Intercept		-3.53	0.26	***	−0.95	0.35	**
Changes in number of living children
Birth(s) between wavesa		1.25	0.14	***	0.51	0.18	**
Child death(s) between waves		−0.78	0.27	**	−0.10	0.49
Changes in marital status
Marital dissolution		1.27	0.20	***	0.16	0.30
Remarriage		0.96	0.73		−1.22	0.58	*
Changes in household wealth
Improved household wealth scale		−0.02	0.14		0.06	0.22
Worse household wealth scale		−0.01	0.14		0.20	0.20
Gained cattle ownership		−0.22	0.19		0.11	0.27
Lost cattle ownership		0.21	0.22		−0.01	0.37
Changes in husband’s migration
Became successful migrant		−0.22	0.18		−0.33	0.28
Became unsuccessful migrant		−0.05	0.19		−0.35	0.25
Returned migrant		0.03	0.15		−0.06	0.22
Changes in worry about HIV
More worried		0.06	0.17		−0.23	0.24
Less worried		0.05	0.12		0.01	0.17
Fixed controls
Age 25 and under		−0.36	0.14	**	−0.43	0.23	+
Age 31 and over		0.24	0.15		0.67	0.19	***
1–4 years of education		0.51	0.15	***	−0.24	0.21
5 or more years of education		0.61	0.16	***	−0.16	0.24
Number of living children at time 1b		0.53	0.05	***	0.42	0.06	***
Time
W1-W2 (vs W2-W3)		0.15	0.12		0.01	0.16
N		1885			1027
−2 LL		1952			1002

^aFor women pregnant at time 2, includes pregnancy.

^bFor women pregnant at time 1, includes pregnancy.

Women with non-missing data on predictors and outcome variables. Models pool changes between Waves 1 and 2 and between Waves 2 and 3; standard errors are adjusted to account for non-independence of women observed at both times.

⁺: p<0.10;

^*: p<0.05;

^**p<0.01;

^***p<0.001.