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Vliv věkové a vzdělanostní homogamie a sňatkového věku na stabilitu prvního manželství

100%
Pakosta P.
Data a výzkum - SDA Info (Data and Research - SDA Info)
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2012
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vol. 6
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issue 1
51-75
EN
As the probability to marry is stratified and differs for people with certain characteristics, it can be expected that some marriages are more likely to end in divorce than others. Among others in the literature the divorce risk factors are often mentioned: too low or too high age, marriage, educational level (low or high education) or educational or age heterogamy. This article describes the effects of age and education of both spouses and their combinations (heterogamy or homogamy) on the stability of marriage in the Czech Republic between 1994 and 2007. Analysis (using event history analysis) is based on data from the Czech Statistical Office and examines those individuals who entered into marriage in 1994. Although, the effect of age at marriage itself is found to be weak, the interaction between age at marriage for men and women exhibits more significant effects. The relationship between education and divorce risk takes the form of an inverted U: people with basic education and people with higher education have the lowest risk of divorce. The assumption of greater stability among homogamous couples is not observed; however, the probability of divorce is higher among heterogamous marriages where the woman is older or has higher education than man.
2
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Vybrané metody analýzy panelových dat

63%
Pakosta P., Fučík P.
Data a výzkum - SDA Info (Data and Research - SDA Info)
|
2009
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vol. 3
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issue 1
77-96
EN
Advances in the statistical analysis of longitudinal data has been so rapid, that it has been difficult for empirically oriented social scientists to remain informed of all new developments in this important area of social methodology. This article offers some guidance on the use of various types of panel data analysis techniques, paying particular attention to the analysis of longitudinal panel data. The aim of this article is to describe in a succinct manner the logic underpinning a number of panel analysis techniques; outlining the types of inferences that can be drawn from employing specific techniques, and providing the reader with references to the literature associated with particular forms of panel data analysis. Five types of panel data analysis are discussed: Event history analysis, Sequential analysis, Hierarchical linear (or multi-level) modeling (with application to longitudinal data analysis), Structural equation modeling with longitudinal data, and use of Log- linear and Markov chain models for longitudinal data with categorical variables.
3
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Dlouhodobý vývoj v časování porodů a sňatků: obstojí individualizační teorie ve světle demografi ckých dat?

51%
Kvapilová Bartošová M., Pakosta P., Fučík P.
Sociologický časopis. Czech Sociological Review
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2012
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vol. 48
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issue 2
315-341
EN
As a key indicator of life-course differentiation they use the dispersion in marriage timing and its trend over the 20th century, and as an indicator of the de-standardisation of life courses in the 1990s they use the interval between marriage and first-order births.
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