Table 5

Baseline model and interaction effect between grandparental death and age of youngest child ≥6 on annual probability of parity progression, pooled across parities: Linear fixed-effects models

Prob(Any Birth)a
BaselineYoungest Child ≥6 × Grandparent Dead
Any Grandparent Dead −0.0202*** −0.0268*** 
 (0.00109) (0.00137) 
Any Grandparent Dead × Youngest Child ≥6b  0.0131*** 
  (0.00163) 
Parity 2 at Start −0.458*** −0.458*** 
 (0.00083) (0.00083) 
Parity 3 at Start −0.830*** −0.829*** 
 (0.00152) (0.00152) 
Parity 4 at Start −1.105*** −1.105*** 
 (0.00212) (0.00213) 
Constant −0.380*** −0.375*** 
 (0.00569) (0.00572) 
Number of Observations 3,107,794 3,107,794 
R2 (within) .244 .244 
Prob(Any Birth)a
BaselineYoungest Child ≥6 × Grandparent Dead
Any Grandparent Dead −0.0202*** −0.0268*** 
 (0.00109) (0.00137) 
Any Grandparent Dead × Youngest Child ≥6b  0.0131*** 
  (0.00163) 
Parity 2 at Start −0.458*** −0.458*** 
 (0.00083) (0.00083) 
Parity 3 at Start −0.830*** −0.829*** 
 (0.00152) (0.00152) 
Parity 4 at Start −1.105*** −1.105*** 
 (0.00212) (0.00213) 
Constant −0.380*** −0.375*** 
 (0.00569) (0.00572) 
Number of Observations 3,107,794 3,107,794 
R2 (within) .244 .244 

Notes: Standard errors are shown in parentheses. The table is abbreviated; full model results are available from the authors upon request. Variables not shown are age of each grandparent (ref. = 60–64), age of wife (ref. = 25–29), age of husband (ref. = 25–29), years of exposure since last birth (ref. = Year 1), and calendar year (ref. = 1986).

Source: Israeli linked population register and census files, 1986–2014.

a

Prob(Any Birth) refers to annual probability of parity progression to birth n conditional on achieving parity n – 1 for any n from 2 to 5.

b

The main effect of the age of the youngest child is captured by the dummy variables defining duration since previous birth.

***

p < .001

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