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Titlebook: Subnational Population Estimates; David A. Swanson,Jeff Tayman Book 2012 Springer Science+Business Media B.V. 2012 "Postcensal" estimation

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书目名称Subnational Population Estimates
编辑David A. Swanson,Jeff Tayman
视频video
概述Most comprehensive treatment of subnational demographic estimates.A rigorously scholarly work combined with a user-oriented pragmatic approach.A broad range of real-world examples of the applications
丛书名称The Springer Series on Demographic Methods and Population Analysis
图书封面Titlebook: Subnational Population Estimates;  David A. Swanson,Jeff Tayman Book 2012 Springer Science+Business Media B.V. 2012
描述.Providing a unified and comprehensive treatment of the theory and techniques of sub-national population estimation, this much-needed publication does more than collate disparate source material. It examines hitherto unexplored methodological links between differing types of estimation from both the demographic and sample-survey traditions and is a self-contained primer that combines academic rigor with a wealth of real-world examples that are useful models for demographers.. .Between censuses, which are expensive, administratively complex, and thus infrequent, demographers and government officials must estimate population using either demographic modeling techniques or statistical surveys that sample a fraction of residents. These estimates play a central role in vital decisions that range from funding allocations and rate-setting to education, health and housing provision. They also provide important data to companies undertaking market research. However, mastering small-area and sub-national population estimation is complicated by scattered, incomplete and outdated academic sources—an issue this volume tackles head-on. Rapidly increasing population mobility is making inter-censu
出版日期Book 2012
关键词"Postcensal" estimation methods; Administrative planning; Applied demography; Census statistics; DeFacto
版次1
doihttps://doi.org/10.1007/978-90-481-8954-0
isbn_softcover978-94-007-9713-0
isbn_ebook978-90-481-8954-0Series ISSN 1877-2560 Series E-ISSN 2215-1990
issn_series 1877-2560
copyrightSpringer Science+Business Media B.V. 2012
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Housing Unit Method,it can accommodate a variety of data sources and application techniques (Lowe, Myers, and Weisser 1984; Smith and Cody 2004). Finally, the housing unit method can produce estimates that are at least as accurate as other post-censal estimation techniques (Hoque 2010; Smith 1986; Smith and Mandell 198
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De Facto Populations and Populations Impacted by Disasters,rtment of Housing and Urban Development, 2008). This situation calls into play at least some of the methods for estimating De Facto populations, hence the reason for covering both in this chapter. In addition, having estimates of the De Facto population can play an important role in the plans for co
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Book 2012ovide important data to companies undertaking market research. However, mastering small-area and sub-national population estimation is complicated by scattered, incomplete and outdated academic sources—an issue this volume tackles head-on. Rapidly increasing population mobility is making inter-censu
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Basic Concepts,s the major demographic concepts of size, distribution, characteristics, and the components of population change along with geographic concepts including Geographic Information Systems (GIS), density, center of population, concentration and clustering, distance, accessibility, and spatial interactio
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Data Sources,yan 2004a; Murdock and Ellis: Chapter 3). These data are available as printed publications, unpublished reports, and electronic data files, with greater access and availability of data on the Internet. Table 3.1 shows the Web site addresses for commonly used public data sites. Data are often replica
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