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We distinguish between social and liberal collective skill formation systems and demonstrate that the German VET system is a social system with a strong (parity) role for trade unions in its governance. In contrast, unions play a considerably weaker role in the more liberal Swiss system, which privileges employers’ interests. We show that the different position of unions in VET systems has the expected consequences on a range of indicators. We further examine why unions are less important in Switzerland and show how, after the First World War, differences in the institutional environment and power resources of the union movements set Germany and Switzerland on different paths, which are still visible today.
Wie Städte sich neu finden
(2013)
In Städten verdichten sich wie nirgendwo sonst ökonomische, soziale und kulturelle Facetten menschlichen Zusammenlebens. Hier entstehen wirtschaftliche und kulturelle Impulse. 84 Prozent der deutschen Bevölkerung lebt in Städten. Doch sind nicht alle Städte gleichermaßen Orte von Wachstum und Innovation. Mit dem Ende der Industrialisierung und dem Übergang in die Dienstleistungsgesellschaft (vgl. Bell 1999) sind einige Städte aus dem größeren Arbeits-kreislauf der Gesellschaft herausgefallen. Sie haben aufgehört, zentrale Orte des Wirtschaftens zu sein. Ihre Bevölkerungen schrumpfen, Gebäude bleiben ungenutzt und die öffentliche Hand verfügt nur über unzureichende und schwindende Mittel, dem entgegenzuwirken. Es sind strukturschwache Städte.
Kommunale Schrumpfungsprozesse sind aus dem 20. Jahrhundert kaum bekannt, obwohl zwei Kriege in Deutschland tobten und unvorstellbare Verwüstungen hinterlassen haben. (...)
BACKGROUND:
Health literacy is of increasing importance in public health research. It is a necessary pre-condition for the involvement in decisions about health and health care and related to health outcomes. Knowledge about limited health literacy in different age groups is crucial to better target public health interventions for subgroups of the population. However, little is known about health literacy in Germany. The study therefore assesses the prevalence of limited health literacy and associated factors among different age groups.
METHODS:
The Health Literacy Survey Germany is a cross-sectional study with 2,000 participants aged 15 years or older in private households. Perceived health literacy was assessed via computer-assisted personal interviews using the HLS-EU-Q-47 questionnaire. Descriptive analyses, chi-square tests and odds ratios were performed stratified for different age groups.
RESULTS:
The population affected by limited perceived health literacy increases by age. Of the respondents aged 15-29 years, 47.3 % had limited perceived health literacy and 47.2 % of those aged 30-45 years, whereas 55.2 % of the respondents aged 46-64 years and 66.4 % aged 65 years and older showed limited perceived health literacy. In all age groups, limited perceived health literacy was associated with limited functional health literacy, low social status, and a high frequency of doctor visits.
CONCLUSIONS:
The results suggest a need to further investigate perceived health literacy in all phases of the life-course. Particular attention should be devoted to persons with lower social status, limited functional health literacy and/or a high number of doctor visits in all age groups.
Fertility progression in Germany : An analysis using flexible nonparametric cure survival models
(2016)
Objective: This paper uses data from the German Socio-Economic Panel (GSOEP) to study the transition to second and third births. In particular, we seek to distinguish the factors that determine the timing of fertility from the factors that influence ultimate parity progression.
Methods: We employ cure survival models, a technique commonly used in epidemiological studies and in the statistical literature but only rarely applied to fertility research.
Results: We find that education has a different impact on the timing and the ultimate probability of having a second and a third birth. Furthermore, we show that the shape of the fertility schedule for the total population differs from that of ‘susceptible women’ (i.e., those who have a second or a third child).
Conclusions: Standard event history models conflate timing and quantum effects. Our approach overcomes this shortcoming. It estimates separate parameters for the hazard rate of having a next child for the ‘susceptible population’ and the ultimate probability of having another child for the entire population at risk.
Contribution: We go beyond standard cure survival models, also known as split population models, used in fertility research by specifying a flexible non-parametric model using Bayesian P-splines for the latent distribution (related to the timing of an extra birth) instead of a parametric model. Our approach is, so far, limited to time-constant covariates, but can be extended to include time-varying covariates as well.
This paper investigates fathers’ usage of parental leave in Germany based on data from the microcensuses of 1999—2005. Special attention is given to the role that education has in leave-taking behaviour. Our empirical results show that educational differences between the partners are strong predictors of fathers’ usage of parental leave. A father is more likely to take parental leave if he has a partner who is more highly educated or older. We also find that employment through a temporary working contract substantially lowers the chances that a man will take advantage of parental leave, while being employed in the public sector increases the likelihood that a man will use his parental leave entitlement.
Until 2008, Germany’s vital statistics did not include information on the biological order of each birth. This resulted in a dearth of important demographic indicators, such as the mean age at fi rst birth and the level of childlessness. Researchers have tried to fill this gap by generating order-specifi c birth rates from survey data, and by combining survey data with vital statistics. This paper takes a different approach by using Perinatal Statistics to generate birth order-specific fertility rates for the period 2001 to 2008. Perinatal Statistics includes information on births that took place in German hospitals. Out-of-hospital births, which account for about 2 % of all births, are not included in the Perinatal Statistics. In a sensitivity analysis, we show how robust our estimates are to the inclusion of out-of-hospital births. Our general assessment is that the Perinatal Statistics is a valuable source for generating order-specific fertility rates, regardless of whether out-of-hospital births are included.
Parity Specific Birth Rates for West Germany: An Attempt to Combine Survey Data and Vital Statistics
(2002)
In this paper, we combine vital statistics and survey data to obtain parity specific birth rates for West Germany. Since vital statistics do not provide birth parity information, one is confined to using estimates. The robustness of these estimates is an issue, which is unfortunately only rarely addressed when fertility indicators for (West) Germany are reported. In order to check how reliable our results are, we estimate confidence intervals and compare them to results from survey data and estimations conducted by the German Statistical Office. Although our estimations show a similar trend, the magnitude of some fertility indicators differs substantially from the ones reported in other studies. However, estimations from other studies do not give a consistent picture of German fertility, either.
The aim of this paper is to compare family policies and fertility patterns in the former German Democratic Republic (GDR) and the German Federal Republic (FRG). Among other aspects, both societies particularly differed in the integration of women into the labor market. By contrasting the fertility development in these two societies, this paper aims to illuminate how women’s education and employment relates to fertility decisions in societal contexts that support (in the case of the GDR) and hamper (in the case of the FRG) the compatibility between work and family life. Data for this analysis comes from the German Fertility and Family Survey (of the year 1992). We provide descriptive statistics for all birth parities, but we limit the multivariate event
history analysis to first births only
This paper investigates whether uncertainties in female employment careers result in a postponement of family formation. Data for this analysis comes from the German Socio-Economic Panel, which provides longitudinal information on economic uncertainty and fertility for the period 1984 to 2006. We employ objective measures of uncertainty (unemployment) as well as subjective measures (whether the respondent is worried about her economic situation, whether she is worried about the security of her job). We find little evidence that uncertainties in female employment careers generally lead to a postponement of parenthood. Hence, the relationship between economic uncertainty and first birth varies by level of education. While more highly educated postpone parenthood when subject to employment uncertainties, women with low levels of education often respond to these situations by becoming mothers.
This paper provides an overview of fertility data for Germany, Austria and Switzerland. Particular attention is given to the availability of order-specific fertility data. The authors discuss the quality of data provided by the Statistical Offices, both birth registration data and censuses or microcensuses. In addition, they explore how social science surveys can be used to generate order-specific fertility indicators, and compare survey fertility estimates with estimates from vital statistics. Prior studies have shown that there is a 'family bias' in most surveys, with the fertility of younger cohorts being overstated, because respondents with young children are easier to reach by interviewers. The authors' assessment of various types of surveys from the three countries mostly supports this notion. The 'family bias' is most pronounced in family surveys in contrast to all-purpose surveys. Weighting data does not fully cure the 'family bias', which the authors attribute to the fact that the number of children is usually not considered a factor in calculating sample weights, as provided by the survey agencies and Statistical Offices. The confounding role of migration in the production of reliable and comparable fertility statistics is also discussed.