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In Table 3, we present regressions in which the dependent variable is an indicator equal to 1 if a mother with at least one child is divorced, separated, or never married. As before, this is regressed on the gender of the previous children with the complete set of covariates from equation 3 as well as controls for number of children and for families with one child or more. Again, the coefficient of interest is the indicator variable All Girls, which is equal to 1 if the previous children are all daughters. The estimated coefficients on all girls in this linear probability model indicate the change in the probability of not being married for mothers of girls in comparison to those with a son. Here, the coefficients are all positive, and for the full sample, natives, as well as first-generation immigrants and non-SESE Asian immigrants they are significant at between 1% and 5% levels of significance. Consistent with the previous analysis, mothers are either more likely to marry or less likely to separate after having sons. Even though the magnitudes seem small, the percentage effects are actually very large, at 9.5%, 11%, 6.4%, 5.9%, and 5.3%, respectively, and are thus quite non-negligible.Of all mothers, 5.28% with at least one child are divorced, separated, or never married in the United States. This figure is 5.47% for native-born mothers, 4.69% for first-generation immigrants, 5.1% for non-SE Asian immigrants, and 3.77% for SE Asian immigrants. 2ff7e9595c
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