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Table 4 Estimation results from logit and poisson regression models

From: Missing women in the United Kingdom

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   
(0.0095) (0.011)
Number of observations 31,950 78,555 102,430 40,316
Likelihood ratio test: null hypothesis: No overdispersion    0.4  
  1. 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.