1973
DOI: 10.2307/2094337
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A Re-Examination of Hernes' Model on the Process of Entry into First Marriage for United States Women, Cohorts 1891-1945

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Cited by 12 publications
(7 citation statements)
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“…Some form of marriage is found in almost every culture, and in nearly all societies most adults are expected to marry. In the United States, more than 90 percent of every female birth cohort on record since the mid-1800s has eventually married (Cherlin 1992;Hastings and Robinson 1973). Over this century, the prevalence of marriage has remained high despite social and economic changes, wars, and changes in gender roles.…”
Section: Recent Trendsmentioning
confidence: 99%
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“…Some form of marriage is found in almost every culture, and in nearly all societies most adults are expected to marry. In the United States, more than 90 percent of every female birth cohort on record since the mid-1800s has eventually married (Cherlin 1992;Hastings and Robinson 1973). Over this century, the prevalence of marriage has remained high despite social and economic changes, wars, and changes in gender roles.…”
Section: Recent Trendsmentioning
confidence: 99%
“…We are the first to use the Hernes model to forecast the future experience of incomplete cohorts, although Hastings and Robinson (1973) suggested this application in the early 1970s. One obstacle in forecasting with the model was the lack of good statistical methods for fitting the Hernes model.…”
Section: Completedmentioning
confidence: 99%
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“…Hernes stacks up rather well against Coale-McNeil. Goodness of Fit Although I know of no systematic, rigorous comparison of the goodness of fit of the two models across a wide array of empirical data, published evidence and my own experience point to the conclusion that both models fit first marriage curves very well. Hastings and Robinson (1973) used Hernes to fit data on several U.S. cohorts, with relatively small errors for most of them (formal measures of goodness of fit are not reported). Diekmann (1989) concludes, based on German and U.S. data, that Hernes performs well when compared with several other models of the class evaluated (diffusion models).…”
Section: Canonization Versus Relative Neglectmentioning
confidence: 99%
“…Hastings and Robinson (1973) used Hernes to fit data on several U.S. cohorts, with relatively small errors for most of them (formal measures of goodness of fit are not reported). Diekmann (1989) concludes, based on German and U.S. data, that Hernes performs well when compared with several other models of the class evaluated (diffusion models).…”
Section: Canonization Versus Relative Neglectmentioning
confidence: 99%