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Item Details
Title: SUBNATIONAL POPULATION ESTIMATES
By: David A. Swanson, Jeff Tayman
Format: Hardback

List price: £159.99


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 9048189535
ISBN 13: 9789048189533
Publisher: SPRINGER
Pub. date: 16 December, 2010
Edition: 2012
Series: The Springer Series on Demographic Methods and Population Analysis 31
Pages: 414
Description: Subnational Population Estimates synthesizes the different methods used for estimating both DeJure and DeFacto populations. This volume provides a comprehensive description of methods that fit within the demographic tradition, while linking them with the sample survey traditions.
Synopsis: 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 However, mastering small-area and sub-national population estimation is complicated by scattered, incomplete and outdated academic sources-an issue this volume tackles head-on.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-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.
Illustrations: XIV, 414 p.
Publication: Netherlands
Imprint: Springer
Returns: Returnable
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