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

Genus

Journal of Population Sciences

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

	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***
Any grandparental childcare	(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***
ADC Model 1—ADC Model 2	(0.005)
ADC Model 2—ADC Model 3	0.008***
ADC Model 2—ADC Model 3	(0.002)
ADC Model 2—ADC Model 4	0.004*
ADC Model 2—ADC Model 4	(0.002)
ADC Model 2—ADC Model 5	0.003
ADC Model 2—ADC Model 5	(0.002)
ADC Model 3—ADC Model 6	0.002
ADC Model 3—ADC Model 6	(0.001)
ADC Model 3—ADC Model 7	0.000
ADC Model 3—ADC Model 7	(0.001)
ADC Model 3—ADC Model 8	0.002
ADC Model 3—ADC Model 8	(0.002)

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
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
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
Source: SFS, 2018