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" Prolegomena to a middlebrow arithmetic of curves of genus 2 / "
J.W.S. Cassels, E.V. Flynn.
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Latin Dissertation
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English
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| Record Number
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52650
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| Doc. No
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TL22604
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3247436
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Vida Maralani
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Intergenerational aspects of educational inequality\ Vida Maralani
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| College
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University of California, Los Angeles
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2006
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| Degree
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Ph.D.
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2006
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| Page No
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205
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| Abstract
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This dissertation focuses on the intergenerational features of educational inequality including the demographic mechanisms that shape the distribution of schooling across generations. Demographic mechanisms and educational inequality are interrelated. Consider the effect of expanding women's education. Increasing women's education improves the life chances of both women and their progeny. But improving women's schooling also changes patterns of family formation. Increases in schooling can change women's marriage and fertility decisions, including whether they marry and when, the kind of partner they choose, whether their marriage stays intact, when they begin to bear children, and how many children they bear. These changes in family structure also affect educational inequality across generations. Most analyses of educational stratification miss this key dimension. Even those studies that consider the intergenerational transmission of educational status usually take the observed family as given. That is, most analysts use existing samples of mothers, fathers, and children to study the relationship between parents' schooling and children's schooling. Existing families, however, do not capture the changes in family size and structure that will result from a given change in schooling in the parent generation. In this dissertation I examine both the direct relationship between parent's schooling and children's schooling and how changing schooling in one generation alters the numbers and types of families that are formed in the next generation. The dissertation has three related but stand-alone substantive chapters. In two chapters, I develop a formal demographic model of population renewal that represents how a population of women with a given education distribution produces a population of children who obtain different levels of schooling. The models account for both the intergenerational correlation of educational status and the effects that accrue through changes in family size, fertility timing, marriage patterns and mortality. Using data from the United States and Indonesia, I use individual-level models to estimate the components of these demographic models and simulations to show the aggregate effects of changing women's schooling on the schooling of the next generation. In the third chapter, I examine the changing relationship between family size and children's schooling across birth cohorts.
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Social sciences; Education; Educational inequality; Intergenerational; Social stratification; Women's education; Educational sociology; Womens studies; Demographics; 0453:Womens studies; 0938:Demographics; 0340:Educational sociology
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R. D. Mare
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University of California, Los Angeles
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