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Table 2 Effect of having any grandparental childcare support on fertility intentions using average discrete changes from binary logit model (N = 4807)

From: Do I want more if you help me? The impact of grandparental involvement on men’s and women’s fertility intentions

  Model 1 (M1) Model 2 (M2) Model 3 (M3) Model 4 (M4) Model 5 (M5) Model 6 (M6) Model 7 (M7) Model 8 (M8)
Null model M1 + controls M2 + education M2 + employment M2 + income M3 + employment M3 + income M6 + income
Panel A: Average discrete change (ADC)
 Any grandparental childcare 0.082*** 0.044*** 0.036*** 0.040*** 0.041*** 0.034*** 0.036*** 0.034***
(0.013) (0.012) (0.012) (0.012) (0.012) (0.012) (0.012) (0.012)
Panel B: Cross-model differences
 ADC Model 1—ADC Model 2 0.038***        
(0.005)        
 ADC Model 2—ADC Model 3 0.008***        
(0.002)        
 ADC Model 2—ADC Model 4 0.004*        
(0.002)        
 ADC Model 2—ADC Model 5 0.003        
(0.002)        
 ADC Model 3—ADC Model 6 0.002        
(0.001)        
 ADC Model 3—ADC Model 7 0.000        
(0.001)        
 ADC Model 3—ADC Model 8 0.002        
(0.002)        
  1. Controls include age in categories and marital status of the main respondent. Standard errors are in parenthesis, *p < 0.05 **p < 0.01 ***p < 0.001
  2. Panel A of Table 2: we use average discreate changes (ADC) within the same models to obtain the difference between the adjusted predictive of using grandparental care and the adjusted predictive of not using it for each model specification
  3. Panel B of Table 2: we use differences of ADCs across different models to provide a direct test of what the inclusion of a certain variable—in a series of nested models—is adding to the explanatory power of a certain model
  4. Source: SFS, 2018