Table 3. Estimated binary logit model results regarding sociodemographic and economic factors affecting women’s exposure to economic violence.

Variables		VIF	β	Std. Error	P	OR
Constant		-	2.984	0.162	0.000	0.051
Survey year (reference category: 2008)
	2014	1.04	0.138	0.046	0.003	1.148
Region (reference category: east)
	West	1.78	0.209	0.063	0.001	1.232
	South	1.30	0.221	0.077	0.004	1.247
	Central	1.58	0.109	0.064	0.087	1.115
	North	1.43	0.115	0.076	0.127	1.122
Place of residence (reference category: rural)
	Urban	1.12	0.602	0.052	0.000	1.825
Age (reference category: 55+)
	15–24	3.49	0.759	0.122	0.000	2.137
	25–34	4.30	0.45	0.102	0.000	1.567
	35–44	3.73	0.437	0.099	0.000	1.548
	45–54	3.04	0.135	0.100	0.176	1.145
Educational level (reference category: illiterate)
	Elementary school	2.50	0.252	0.075	0.001	1.286
	Secondary school	1.83	0.349	0.104	0.001	1.418
	High school	2.53	0.267	0.101	0.008	1.306
	University	2.63	-0.14	0.138	0.300	0.867
Employment status (reference category: unemployed)
	Employed	1.14	-0.33	0.059	0.000	0.720
Relationship status (reference category: have no existing relationship)
	Have a relationship	1.62	-0.29	0.146	0.048	0.750
	Still married	1.70	-0.33	0.083	0.000	0.717
Health status (reference category: excellent/good)
	Reasonable	1.25	0.237	0.051	0.000	1.267
	Bad/Very bad	1.37	0.342	0.071	0.000	1.408
Number of children (reference category: has no child)
	One child	2.45	0.333	0.102	0.001	1.395
	Two and more	3.41	0.315	0.100	0.002	1.371
Status of exposure to violence by first degree relatives (reference category: no)
	Yes	1.04	0.249	0.069	0.000	1.282

VIF: Variance Inflation Factor; Std. Error: Standard Error; OR: Odds Ratio.