119,424 research outputs found

    Relationship of Demography with Other Sciences: A Sociological Appraisal

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    Demography as a dynamic discipline is highly related with other sciences; especially social sciences. It helps other sciences, and is benefited by other sciences too. Demography being statistics-based, widely helps economics, sociology, social development, geography and many other sciences. Sociology proves how integration of sciences help in the development of societies in general. Social change happening in various dimensions, is in need of a close relationship of demography and other social sciences. Social science which deals human behavior in the changing social environment is a part of expanding knowledge. Demography is the science that analyzes the size, structure of human community, are aspects of biological, geographical, economic, etc. Geography also being the science related to natural environment is widely related to sociology

    Building a Panel Survey on Health, Aging and Retirement in Europe

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    Ageing is one of the greatest social and economic challenges of the 21st century in Europe. SHARE, a EU-sponsored project that will build up a Survey of Health, Aging and Retirement in Europe, will be a fundamental resource for science and public policy to help mastering this unprecedented challenge. The main aim of SHARE is to create a pan-European interdisciplinary panel data set covering persons aged 50 and over. The project brings together many disciplines, including epidemiology, sociology, statistics, psychology, demography, and economics. Scientists from some 15 countries work on feasibility studies, experiments, and instrument development, culminating in a survey of about 22.000 individuals. The multidisciplinary nature of the data will provide new insights in the complex interactions between economic, health, psychological and social factors determining the quality of life of the elderly.

    Extracting Firm Information from Administrative Records: The ASSD Firm Panel

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    This paper demonstrates how firm information can be extracted from administrative social security records. We use the Austrian Social Security Database (ASSD) and derive firms from employer identifiers in the universe of private sector workers. To correctly pin down entry end exits we use a worker flow approach which follows clusters of workers as they move across administrative entities. This procedure enables us to define different types of entry and exit such as start-ups, spinoffs, closures, or take-overs. We show that our firm definition results in a demography which is comparable to official statistics of firm registers. The resulting database, covering the period of 1976 to 2006, is a valuable resource for future research on industry evolution in Austria.administrative data, definition of firms, entry and exit types, worker flows

    In the frontline of the backwater? The Nordic countries and the global population drama

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    Backed by a long history of domestic population statistics and analysis, Nordic social science -including demography - could well be in the forefront of international scientific attention to the global drama of population dynamics and development. But this appears not to be the case. The paper is devoted to a discussion of this state of affairs. Following a brief presentation of the current state of population dynamics, it offers a few examples to show the value of a wider social science approach to the analysis of population/development relations. Dramatic features in current development are contrasted against the relative lack of engagement of demographers and social scientists today.Finally, a case is made for the strengthening of links between demography and social science in general - indeed for “population studies” as a field of joint enquiry, combining the rigor of demographic methods and techniques with the theoretical substance of the social sciences

    Regional limits in Portugal - an application of cluster analysis

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    In 1989, Portugal has adopted the Nomenclature of Territorial Units for Statistics (NUTS) of the European Union (EU) to promote statistical normalisation in the EU. This classification grouped the portuguese municipalities in three levels: NUTS III (28 units in the Mainland), NUTS II (5 units in the Mainland) and NUTS I (3 units: Mainland, Madeira Islands and Azores Islands). In 2002, the Portuguese government approved a law introducing some modifications to the former nomenclature, namely in the regions of Centro, Lisboa e Vale do Tejo and Alentejo. Further to these modifications, some NUTS III units were moved from Lisboa e Vale do Tejo (new designation is Lisboa) to Centro and Alentejo. In this paper we group territorial units, following the methodology of cluster analysis, making use of official statistics like the population census of 2001. Our goal is to obtain homogenous NUTS II in economic and social terms, therefore challenging the 2002 nomenclature modifications. We select our variables to characterise the territorial units, according to the competitiveness territorial pyramid (Mateus et al., 2000), which classifies the territorial analysis by themes like demography, labour market, workers qualifications, innovation, entrepreneurship, productive specialization and infrastructures to support production.

    Maori demography in Aotearoa New Zealand: Fifty Years on

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    Writing in the Journal of the Polynesian Society fifty years ago, budding demographer Ian Pool asked: “When is a Maori a ‘Maori’”? His assertion that cultural self-identification was the only credible way to define Māori collectively in official statistics was in stark contrast to the prevailing institutional practice of defining Māori by ‘degree of blood.’ In this article I use key insights from Ian’s paper to reflect on contemporary practices of demography, focusing specifically on the construction of Māori as a discrete population for demographic research, and the use of Māori ethnic identification as an independent variable. I conclude with some thoughts on how official statistics might be changed to better reflect the aspirations and needs of Māori in a post-settlement context

    The education and professional experience of demographers: results of an international survey

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    This paper presents findings relating to the education, disciplinary background and professional experience of 634 demographers responding to a mainly internet-based survey carried out in 1999-2000. Two thirds of the survey respondents have some training in demography, and virtually all have studied some other subject also. Academic backgrounds are quite varied, with sociology (broadly defined), economics, mathematics/statistics and geography being the most common. Findings presented relate to: the combinations of disciplines studied, current practise of discipline of origin, interdisciplinary activity, place of education, education abroad, current and past sectors of employment and time-use. Differentials by age, gender and region of residence or birth are considered
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