000 04010nam a22004695i 4500
001 978-90-481-8954-0
003 DE-He213
005 20140220083337.0
007 cr nn 008mamaa
008 120522s2012 ne | s |||| 0|eng d
020 _a9789048189540
_9978-90-481-8954-0
024 7 _a10.1007/978-90-481-8954-0
_2doi
050 4 _aHB848-3697
072 7 _aJHBD
_2bicssc
072 7 _aSOC006000
_2bisacsh
082 0 4 _a304.6
_223
100 1 _aSwanson, David A.
_eauthor.
245 1 0 _aSubnational Population Estimates
_h[electronic resource] /
_cby David A. Swanson, Jeff Tayman.
264 1 _aDordrecht :
_bSpringer Netherlands :
_bImprint: Springer,
_c2012.
300 _aXIV, 411 p. 34 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aThe Springer Series on Demographic Methods and Population Analysis,
_x1389-6784 ;
_v31
505 0 _a1: Introduction -- 2: Basic Concepts -- 3: Data Sources -- 4: Basic Measures -- 5: An Overview of Estimates Methods -- 6: Extrapolation Methods -- 7: Housing Unit Method -- 8: Regression Methods -- 9: Censal Ratio Methods -- 10: Component Methods -- 11: Sample Based Methods -- 12: Other Methods -- 13: Special Cases and Adjustments -- 14: Evaluating Estimates -- 15: Guidelines for Developing Estimates -- 16: De Facto Populations and Populations Impacted by Disasters.-17: Historical and Pre-historical Populations -- 18: Future Directions in Population Estimates -- Glossary.-A Demography Timeline Relevant to Population Estimates.
520 _aProviding 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-census estimation ever more important to strategic planners. This book will make the theory and techniques involved more accessible to anyone with an interest in developing or using population estimates. “With the publication of this volume, for the first time a book which is both a comprehensive and rigorous scholarly work as well as a user oriented and pragmatic methodological source has become available.” Steve Murdock, Rice University, Houston, TX, USA Steve Murdock, Rice University, Houston, TX, USA Steve Murdock, Rice University, Houston, TX, USA
650 0 _aSocial sciences.
650 0 _aStatistics.
650 0 _aDemography.
650 1 4 _aSocial Sciences.
650 2 4 _aDemography.
650 2 4 _aStatistics, general.
700 1 _aTayman, Jeff.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789048189533
830 0 _aThe Springer Series on Demographic Methods and Population Analysis,
_x1389-6784 ;
_v31
856 4 0 _uhttp://dx.doi.org/10.1007/978-90-481-8954-0
912 _aZDB-2-SHU
999 _c104226
_d104226