Provisions for old age. Income provisions and retirement

Research on the income situation of today’s and future retirees requires often record based data. Because of their accuracy in the life-course infomation they can also, if they are linked to survey data, make interviews shorter and less demanding for the interviewed persons. Process produced data from the pension fund are already available for these research topics. The data include details about the employment career and other life-course events as far as they are considered in the pensions’ calculation. Nevertheless, additional sources are needed if research projects address the income situation more in detail, in particular the question of poverty or high income in old age. The pension reforms of the past decade have strengthened the second and third pillar in the importance, thereby increasing their importance of occupational pensions and private savings for future old age income. There exist already some detailed and inclusive data for research on old age income and retirement collected for government reports, but not all this data is yet available for scientific research. Furthermore should the exchange of data between social securitiy and/or tax institutions more often be combined with the collection of statistical data in order to improve the possibility of record-to-record linkage.Retirement, old age provisions, public pension fund, process produced data, data linkage

Aims, Background and Framework of the EU-Project Smart Region

During the next years and decades the demographic change will significantly influence social structures, economies and labour markets in Europe. At this, the demographic developments will lead to considerable changes in the age composition of the labour force potential: In the close future there will not only be a steadily increasing proportion ofolder employees who attend to the labour markets but they also will-in combination with political measures to extend working lives - have to work longer. The given circumstances create challenges for the employees, employers and policy makers alike and raise a number ofquestions: What are the altematives to the prevalent practice ofearly retirement? How will it be possible for companies to remain productive and competitive with older and ageing workforces? Which measures can contribute to employees maintaining their health and their ability and motivation to work longer

Provisions for old age. Income provisions and retirement

Research on the income situation of todays and future retirees requires often record based data. Because of their accuracy in the life-course infomation they can also, if they are linked to survey data, make interviews shorter and less demanding for the interviewed persons. Process produced data from the pension fund are already available for these research topics. The data include details about the employment career and other life-course events as far as they are considered in the pensions calculation. Nevertheless, additional sources are needed if research projects address the income situation more in detail, in particular the question of poverty or high income in old age. The pension reforms of the past decade have strengthened the second and third pillar in the importance, thereby increasing their importance of occupational pensions and private savings for future old age income. There exist already some detailed and inclusive data for research on old age income and retirement collected for government reports, but not all this data is yet available for scientific research. Furthermore should the exchange of data between social securitiy and/or tax institutions more often be combined with the collection of statistical data in order to improve the possibility of record-to-record linkage

Provisions for old age: income provisions and retirement

"Research on the income situation of today's and future retirees requires often record based data. Because of their accuracy in the life-course information they can also, if they are linked to survey data, make interviews shorter and less demanding for the interviewed persons. Process produced data from the pension fund are already available for these research topics. The data include details about the employment career and other life-course events as far as they are considered in the pensions' calculation. Nevertheless, additional sources are needed if research projects address the income situation more in detail, in particular the question of poverty or high income in old age. The pension reforms of the past decade have strengthened the second and third pillar in the importance, thereby increasing their importance of occupational pensions and private savings for future old age income. There exist already some detailed and inclusive data for research on old age income and retirement collected for government reports, but not all this data is yet available for scientific research. Furthermore should the exchange of data between social security and/or tax institutions more often be combined with the collection of statistical data in order to improve the possibility of record-to-record linkage." (author's abstract

The Cityscapes Dataset for Semantic Urban Scene Understanding

Visual understanding of complex urban street scenes is an enabling factor for a wide range of applications. Object detection has benefited enormously from large-scale datasets, especially in the context of deep learning. For semantic urban scene understanding, however, no current dataset adequately captures the complexity of real-world urban scenes. To address this, we introduce Cityscapes, a benchmark suite and large-scale dataset to train and test approaches for pixel-level and instance-level semantic labeling. Cityscapes is comprised of a large, diverse set of stereo video sequences recorded in streets from 50 different cities. 5000 of these images have high quality pixel-level annotations; 20000 additional images have coarse annotations to enable methods that leverage large volumes of weakly-labeled data. Crucially, our effort exceeds previous attempts in terms of dataset size, annotation richness, scene variability, and complexity. Our accompanying empirical study provides an in-depth analysis of the dataset characteristics, as well as a performance evaluation of several state-of-the-art approaches based on our benchmark.Comment: Includes supplemental materia

Business Rules: Die Wissensverarbeitung erreicht die Betriebswirtschaft ; Einsatzmöglichkeiten und Marktübersicht

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Themenheft 30 "Gesundheitsbedingte Frühberentung"

Rund 100.000 Männer und 74.000 Frauen erhielten im Jahr 2003 aufgrund verminderter Erwerbsfähigkeit neu eine Rente. Bezogen auf die aktiv Versicherten zeigt sich, dass Arbeiter und Arbeiterinnen höhere Frühberentungsrisiken tragen als männliche und weibliche Angestellte: Während etwa neun Arbeiterinnen und sieben Arbeiter pro 1.000 Versicherte früh berentet wurden, waren es bei den Angestellten vier Frauen und drei Männer (früheres Bundesgebiet). In den neuen Ländern erhielten sechs Arbeiter und fast sieben Arbeiterinnen pro 1.000 Versicherte sowie je vier angestellte Frauen und Männer neu eine Rente wegen verminderter Erwerbsfähigkeit