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ALLBUS-Bibliographie 25. Fassung, Stand - SSOAR

ALLBUS-Bibliographie 25. Fassung, Stand - SSOAR

ALLBUS-Bibliographie 25. Fassung, Stand - SSOAR

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GESIS Technical Report 2011|06 157<br />

Aufgenommen: 20. <strong>Fassung</strong>, Februar 2005<br />

Congdon, Peter, (2008). A bivariate frailty model for events with a permanent survivor<br />

fraction and non-monotonic hazards; with an application to age at first maternity.<br />

Computational Statistics and Data Analysis, 52: 4346-4356.<br />

Abstract: "For certain life cycle events a non-susceptible fraction of subjects will<br />

never undergo the event. In demographic applications, examples are provided by<br />

marriage and age at first maternity. A model for survival data allowing a permanent<br />

survival fraction, non-monotonic failure rates and unobserved frailty is considered<br />

here. Regressions are used to explain both the failure time and permanent survival<br />

mechanisms and additive correlated errors are included in the general linear models<br />

defining these regressions. A hierarchical Bayesian approach is adopted with likelihood<br />

conditional on the random frailty effects and a second stage prior defining the<br />

bivariate density of those effects. The gain in model fit, and potential effects on inference,<br />

from adding frailty is demonstrated in a case study application to age at first<br />

maternity in Germany. […] This paper considers a model for survival data with a<br />

permanent survival fraction and non-monotonic failure rates and evaluates the gain in<br />

model fit, and effects on inference, from adding frailty. An application considers age<br />

at first maternity using data from the 2002 German General Social Survey, with permanent<br />

survival amounting to childlessness. Regressions are used to explain both the<br />

failure time of the event (here age at first maternity) and the permanent survival mechanism<br />

(susceptibility to undergo maternity or not). Additive correlated effects are<br />

included in the linked models defining these regressions and relate to two types of<br />

frailty: influences on the event rate itself and influences on the probability of susceptibility."<br />

Aufgenommen: 24. <strong>Fassung</strong>, Februar 2010<br />

Conradt, David P., (1996). The German Polity. White Plains, NY: Longman.<br />

Abstract: "This study departs from earlier treatments of the Federal Republic in its<br />

emphasis on the institutionalized character of the postwar system and the multiplicity<br />

of policy changes and conflicts that are now taking place within the Republic. [...]<br />

the key question is [...] what kind of democracy the Federal Republic has been and<br />

will be in the future. This approach does not deny the influence of the past on current<br />

institutions and processes; throughout the work, and especially in the treatment of<br />

national identity [...] I have attempted to relate historical factors-particularly the<br />

Third Reich and World War II - to the current politics of the Republic. But this approach<br />

does suggest that a portrayal of the Republic as provisional or as one in which<br />

the leadership is insecure or anxious about its abilities to maintain the liberal democratic<br />

order is misleading." Für die Diskussion des Wählerverhaltens sowie für die<br />

Analyse der Einstellungen der Deutschen bezüglich des Sozialismus, werden Daten

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