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Antecedents and consequences of remarriage in later life.

Using the Retirement History Study (RHS), respondents were identified who entered the study widowed or divorced, and then remarried. Respondents were also identified who entered the study as married, became widowed or divorced, and then remarried. In the latter case, because of limitations of the RHS, only males were observed. With some matching relevant to the types of analyses carried out, comparison groups were selected, providing an opportunity to examine both antecedents and consequences of remarriage.

Aging↗

The impact of age and children on remarriage: further evidence.

"This article addresses the impact age and presence/number of children have on the remarriage probabilities of divorced women [in the United States]. Following Koo and Suchindran..., an interaction between these two factors is posited, with children having an effect on the remarriage chances only of younger and older women. In addition, a third factor, dissolution measurement, is considered because remarriage intervals measured from separation and from divorce can be quite different." The data are from the 1973 National Survey of Family Growth. "Analyses conducted separately by race indicate that (1) dissolution measurement can make a difference in the estimated effect of both age and presence/number of children on remarriage probabilities for both blacks and whites, (2) net of numerous controls, older women and women with more children of both races tend to remarry at the slowest pace, and (3) age and presence/number of children interact for whites but not for blacks."

Adolescent↗

Who divorces and why: a review.

"This review of recent literature on the whos and whys of divorce examines data on the frequency of divorce and research on the predivorce period. The still lingering emphasis on a pathological perspective to explain marital dissolution is posited as a reason for the focus of much of the divorce literature on demography rather than process or outcome. Societal and legal explanations for the increase in the divorce rate are explored. Demographic correlates, mental and physical health issues, and the reasons the divorced themselves give for the decision to end their marriages are reviewed." The geographic focus is on the United States.

Americas↗

Factors in long-term marriages.

"The present study involves a nonrandom sample of 351 [U.S.] couples who have been married 15 years or more. Differences were found in the reported reasons for staying together between happy, unhappy, and mixed (one partner happy and one unhappy) marriages. For happy couples, the most frequently mentioned reasons for staying together was the perceived nature of the relationship, then the belief in marriage as a long-term commitment. Among the mixed and unhappy marriages, the most frequently named reason was the belief that marriage is a long-term commitment. Nineteen percent of those in mixed marriages and 47% in unhappy marriages said the children kept the marriage together."

Adolescent↗

Human capital, marital and birth timing, and the postnatal labor force participation of married women.

Using materials from the National Longitudinal Surveys of Labor Market Experience of Young Women, this article analyzes postnatal labor force participation data for married husband-present women over a 15-year period in order to study factors associated with the length of time out of the labor force following the 1st birth. Survival analyses and proportional hazards models indicate that human capital variables (education, prebirth work experience, and income) and marital and birth-timing variables (age at 1st marriage and age at 1st birth) have significant estimated effects on the rate and timing of reentry into the paid labor force.

Americas↗

The impact of family background and early marital factors on marital disruption.

Data from the National Survey of Families and Households for 1987-1988 are used to explore methodological and substantive issues concerning marital dissolution in the United States. "The analysis finds that marital disruptions are seriously underreported by males, making the analysis of male marital histories problematic. Also, the potential impact of reconciliations on the estimates of recent marital disruption based on separation is explored; no upward bias is likely to result from the inclusion of separations that may subsequently reconcile. The impact of a wide variety of factors on the risk of marital disruption is examined using proportional hazard techniques. Among them are included parental background factors, respondent's characteristics at the time of marriage, differences in spouses' characteristics, and joint activity statuses of marital partners in the first year of marriage. The risk of marital disruption is highest among women with young age at marriage, low education, a cohabitation history, and those whose spouse has been married previously. Parental family disruption affects marital stability primarily through age at marriage and cohabitation. Religious and educational heterogamy and male unemployment reduce marital stability."

Americas↗

Remarriages: a demographic profile.

"This article presents descriptive statistics for remarriages [in the United States] according to the combined marital histories of brides and grooms. In 1988, 745,000 divorced men and 748,000 divorced women remarried. For each sex, 61% married divorced, 35% married single, and 4% married widowed partners. On average, the grooms were 39 and the brides were 35 years of age, but those who married single partners were younger (35 and 31, respectively) and better educated than average. In 1988, 72,000 widowed men and 77,000 widowed women remarried, at ages 61 and 53. They married widowed or divorced partners in similar proportions. By 1988, husbands and wives who jointly remarried at ages 25 to 44 in 1972 had lower divorce levels than did those who were first married as teenagers. This indicates that marrying at a young age was a stronger determinant of divorce than was a previous marriage of either or both spouses."

Age Factors↗