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Stability Across Cohorts in Divorce Risk Factors - Bishop Ireton High ...

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344 Demography, Volume 39-Number 2, May 2002<br />

Given the rise <strong>in</strong> the risk of divorce over time, I anticipated that the nature of the <strong>in</strong>teraction<br />

should be a decreas<strong>in</strong>g effect of year of marriage at longer marital durations (because<br />

successive marriage cohorts experience a particular marital duration dur<strong>in</strong>g later periods<br />

when the risk of divorce is greater). The result<strong>in</strong>g model (not shown) does fit the data<br />

better than the basel<strong>in</strong>e model (Model χ 2 = 2,976.54, BIC = –2,770.98). The coefficient<br />

for the <strong>in</strong>teraction between year of marriage and marital duration is statistically significant<br />

(us<strong>in</strong>g the BIC criterion for strong evidence) and negative (e β = .999). This <strong>in</strong>teraction<br />

is consistent with the notion that there is a period <strong>in</strong>fluence on the risk of marital<br />

dissolution. Inclusion of this <strong>in</strong>teraction term does not alter the coefficients (or standard<br />

errors) associated with any of the other covariates. Nor does <strong>in</strong>clud<strong>in</strong>g this <strong>in</strong>teraction<br />

term alter any of the f<strong>in</strong>d<strong>in</strong>gs shown <strong>in</strong> Tables 2 and 3.<br />

How Robust Are the F<strong>in</strong>d<strong>in</strong>gs?<br />

I conducted several sensitivity tests to ascerta<strong>in</strong> whether the results are robust to different<br />

model specifications and restrictions on the data. First, I considered whether different<br />

results would be obta<strong>in</strong>ed if I coded age at marriage and year of marriage as a series of<br />

dummy variables <strong>in</strong>stead of us<strong>in</strong>g cont<strong>in</strong>uous variables. Because of the number of potential<br />

<strong>in</strong>teractions, I estimated a separate model for each <strong>in</strong>teraction between a particular<br />

age at marriage and year of marriage (us<strong>in</strong>g the age at marriage and year of marriage<br />

categories represented <strong>in</strong> Table 1). These models do not reveal a pattern of <strong>in</strong>teraction<br />

between age at marriage and year of marriage that is otherwise masked by us<strong>in</strong>g cont<strong>in</strong>uous<br />

variables (see Appendix).<br />

Second, I considered the possibility that the results may be biased somehow by the<br />

fact that women who marry <strong>in</strong> earlier historical periods are more heavily weighted toward<br />

earlier ages at marriage. To address this issue, I reconfigured the sample and reestimated<br />

the models us<strong>in</strong>g data on marriages formed after 1959. I also formed a sample based on<br />

all years of marriage but restricted marriages to those formed before age 23, yield<strong>in</strong>g a<br />

sample <strong>in</strong> which the maximum age at marriage is consistent across year of marriage. For<br />

the sample restricted to women who marry before age 23, accord<strong>in</strong>g to values of the BIC<br />

statistic, the same <strong>in</strong>teraction as revealed <strong>in</strong> Table 2 yields a better model fit: the <strong>in</strong>teraction<br />

of be<strong>in</strong>g black with year of marriage (see Appendix). The coefficients from this model<br />

are similar to those estimated from the full sample.<br />

In the sample restricted to marriages formed after 1959, the <strong>in</strong>teraction between be<strong>in</strong>g<br />

black and marriage cohort yields weak evidence of a better-fitt<strong>in</strong>g model. The important<br />

po<strong>in</strong>t to note from models estimated on this sample, though, is that no new <strong>in</strong>teractions<br />

appeared when a different set of marriage ages was used. The lack of a substantial<br />

<strong>in</strong>teraction between be<strong>in</strong>g black and year of marriage attests to the need for a long historical<br />

sequence to detect substantial changes <strong>in</strong> the risk of divorce.<br />

Does Cohabitation Make a Difference?<br />

One substantial change <strong>in</strong> the nature of <strong>in</strong>timate relationships has been the sudden and<br />

steep rise <strong>in</strong> the <strong>in</strong>cidence and prevalence of premarital cohabitation (Bumpass and Sweet<br />

1989). Much research has l<strong>in</strong>ked premarital cohabitation to an <strong>in</strong>creased risk of marital<br />

dissolution (Ax<strong>in</strong>n and Thornton 1992; Bumpass, Sweet, and Cherl<strong>in</strong> 1991; DeMaris and<br />

MacDonald 1993; Mann<strong>in</strong>g and Smock 1994; Thomson and Colella 1992). In this section,<br />

I seek to answer two questions. First, has the effect of premarital cohabitation on<br />

divorce changed over time? Second, are the relationships between the measured covariates<br />

and divorce somehow altered by the substantial <strong>in</strong>crease <strong>in</strong> premarital cohabitation<br />

over the past several decades?<br />

I made use of <strong>in</strong>formation on premarital cohabitation conta<strong>in</strong>ed <strong>in</strong> rounds 4 and 5 of<br />

the NSFG, exam<strong>in</strong><strong>in</strong>g marriages formed after 1964. I replicated the models shown <strong>in</strong><br />

Table 2, first us<strong>in</strong>g premarital cohabitation as a predictor variable and then exclud<strong>in</strong>g

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