Table 4. Probability of receiving TT injection before childbirth (marginal effects after a probit estimation).

Characteristic	Model (1): All women	Model (2): Married women
Maternal education: primary	0.02
	(0.13)
Secondary	0.05**
	(0.02)
Post-secondary	0.15***
	(0.00)
Location: Rural	−0.04	−0.03
	(0.11)	(0.28)
Region: East	0.01	0.02
	(0.37)	(0.24)
North	0.08***	0.08***
	(0.00)	(0.00)
West	−0.07***	−0.08***
	(0.00)	(0.00)
Wealth quintiles: Poorer	−0.02	−0.03
	(0.24)	(0.14)
Middle	0.00	0.00
	(0.94)	(0.78)
Rich	−0.01	−0.03
	(0.39)	(0.22)
Richest	0.02	0.02
	(0.45)	(0.46)
Religion: Protestant	−0.02	−0.02
	(0.15)	(0.19)
Muslim	−0.02	−0.03
	(0.30)	(0.15)
Other	−0.06***	−0.06***
	(0.00)	(0.00)
Age Cohorts: 20–24	−0.02	0.01
	(0.38)	(0.60)
25–29	−0.04	0.00
	(0.15)	(0.98)
30–34	−0.08***	−0.06*
	(0.00)	(0.06)
35–39	−0.13***	−0.10***
	(0.00)	(0.00)
40–44	−0.10***	−0.06*
	(0.00)	(0.08)
45–49	−0.10**	−0.08
	(0.03)	(0.13)
Mother occupation: Agriculture	0.01
	(0.46)
Services	0.01
	(0.62)
Blue collar	0.00
	(0.95)
Electricity	0.05	0.08**
	(0.11)	(0.01)
Partner's education: Primary		0.02
		(0.28)
Secondary		0.06**
		(0.01)
Post-secondary		0.08***
		(0.00)
Partner's occupation: Agriculture		−0.00
		(0.81)
Services		−0.01
		(0.62)
Blue collar		−0.01
		(0.68)
Observations	4,40	3,98

P-values in parentheses; *** P<0.01, ** P<0.05, * P<0.1; the dependent variable is the probability of a woman receiving TT at least twice before childbirth coded as =1 if received TT at least twice and =0 otherwise. Maximum likelihood probit was used during estimation