Ist Das Normalarbeitsverhältnis Noch Armutsvermeidend?

The article tests the hypothesis that welfare state retrenchment and labor market deregulation have increased poverty within the German working population using a time series of poverty ratios based on different income concepts for a period of 14 years (1991–2004). The basic assumption is that changes in the societal context (welfare state, labor market, houschold structures), besides individual risk factors, explain the development of poverty over time. Using data from the German Socio-Economic Panel Study it is shown that changing labor market conditions and tax regulations have increased poverty, and this has not been attenuated by additional income sources (welfare state, household members) or by recent changes in household composition. As a result, poverty has increased for full-time employees during the observation period, especially so in Eastern Germany.     

Some remarks on bootstrap techniques for constructing confidence intervals

As techniques of constructing confidence intervals for a parameter, the classical, the studentized and the prepivoted bootstrap are discussed and compared in a Monte-Carlo study.     

Multivariate boundary kernels and a continuous least squares principle

Whereas there are many references on univariate boundary kernels, the construction of boundary kernels for multivariate density and curve estimation has not been investigated in detail. The use of multivariate boundary kernels ensures global consistency of multivariate kernel estimates as measured by the integrated mean-squared error or sup-norm deviation for functions with compact support. We develop a class of boundary kernels which work for any support, regardless of the complexity of its boundary. Our construction yields a boundary kernel for each point in the boundary region where the function is to be estimated. These boundary kernels provide a natural continuation of non-negative kernels used in the interior onto the boundary. They are obtained as solutions of the same kernel-generating variational problem which also produces the kernel function used in the interior as its solution. We discuss the numerical implementation of the proposed boundary kernels and their relationship to locally weighted least squares. Along the way we establish a continuous least squares principle and a continuous analogue of the Gauss–Markov theorem.     

Editorial

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Soziologie — Europäische Gesellschaften

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