Missing women in the United Kingdom

Table 4 Estimation results from logit and poisson regression models

*Dataset used* :	*UK general household survey*			*India NFHS*
Dependent variable:	Third child:	Second child: Boy	Family size	Third child:
	Boy (1)	(2)	(3)	Boy (4)
University	−0.021**	−0.012***	−0.134***
	(0.0087)	(0.0036)	(0.0014)
Secondary	0.017***	−0.0054	−0.244***
	(0.0049)	(0.0034)	(0.010)
Never-schooled	−0.059*	0.024	−0.0048
	(0.035)	(0.016)	(0.018)
Employed	0.0040	−0.0031	−0.168***
	(0.013)	(0.0042)	(0.013)
Wealthy	−0.015	−0.0026	−0.172***
	(0.027)	(0.0025)	(0.013)
Constant	−0.051	−0.185**
	(0.091)	(0.081)
Mixed gender interactions
University	0.031
	(0.020)
Secondary	−0.016***
	(0.0059)
Never-schooled	0.072**
	(0.036)
Employed	0.0058
	(0.019)
Wealthy	0.015
	(0.027)
Constant	0.0028
	(0.0060)
All girls interactions
University	0.042***	−0.0018
	(0.015)	(0.0038)
Secondary	−0.012*	0.010**
	(0.0069)	(0.0048)
Never-schooled	0.083**	−0.033
	(0.036)	(0.035)
Employed	0.0084	−0.0013
	(0.013)	(0.0061)
Wealthy	0.032	0.0017
	(0.028)	(0.0084)
Constant	−0.032***	−0.010
Constant	(0.0095)	(0.011)
Number of observations	31,950	78,555	102,430	40,316
Likelihood ratio test: null hypothesis: No overdispersion			0.4

Notes: Tables 4, 5 and 6 are one table but we separate the results into three tables. For columns one and two, we estimate the Logit model using the general household survey dataset. In column three, we estimate the Poisson Regression Model using the same dataset. In column four, we examine the preferences of Indian households that live in India using the Logit model and information obtained from the NFHS dataset. Regional and time dummy variables are included but not reported for brevity. Marginal effects are reported for all models (and standard errors associated with the marginal effects). Ethnicity-Region-clustered (for columns 1–3), heteroskedastic -robust standard errors are given in parentheses. *, ** and *** denote significance at 10%, 5% and 1% level respectively.