Abstract

Trends in assortative mating were examined using the 1% Public Use Microdata samples (PUMS) of the 1940 1960 1970 and 1980 US Censuses and the Current Population Surveys (CPS) of 1985-87. 2 samples were drawn: 1) couples between the ages of 16-34 years and married for the 1st time 1 year prior to the census or CPS (newlyweds) and 2) couples between the ages of 21-39 years and married 5-6 years prior to the census/CPS. The methods of Hauser and Johnson are used to analyze trends that distinguish patterns of change in marginal distributions of husbands and wives traits from those which show an association between spouses traits. These crossings models indicate which educational differences between prospective spouses are serious barriers to intermarriage and reflect patterns of change between years. The implications are that marriages between persons who differ in educational attainment may be more common at some levels of the educational hierarchy than at others and that the effect of the time gap between school leaving and marriage is greater at higher levels of schooling than at lower levels. The proportion of marriages with spouses of the same educational attainment declined between 1900-50 and increased from 1950 to 1970 which was due to distributions of spouses schooling rather than from the association between spouses attainment. There is further discussion of the effects of changes in the timing of schooling and marriage and changing competitiveness of the marriage market. The results take into consideration log linear models that relate to the trends in schooling and educational assortative mating and that relate to the timing of marriage and educational assortative mating. The findings suggest that even after the relative timing of leaving school and entry into marriage are accounted for the trend remains for increased educational assortative mating particularly for college graduates and persons without college degrees. Although not empirically tested it is suggested that changes in rates of participation in the armed forces in rates of childbearing before marriage in the incidence of cohabitation in womens labor force participation and in the status of jobs held by women affect the timing of marriage and exposure to potential spouses of varying educational statuses. There may also be an influence on patterns of assortative mating. When barriers to marriage between educational strata increase between family inequalities increase and the effects on family inequality and educational mobility require further analysis. The findings suggest however that the structure of marriage and inequality within and between generations are affected by trends in age at marriage.

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