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.

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 However, mastering small-area and sub-national population estimation is complicated by scattered, incomplete and outdated academic sourcesan issue this volume tackles head-on.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.

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 and uses

Autorentext

Jo. M. Martins is a graduate in economics from the University of Sydney, Australia, where he also completed post-graduate studies and a dissertation on economic development. After his private sector work experience, he went on to work for the United Nations and has served as an adviser and consultant to the World Health Organization and the World Bank. His public sector career started with the Government of Ontario, Canada. He spent almost two decades as a senior executive with the Government of New South Wales, Australia, followed by his appointment as a senior officer of the World Bank. His varied career has given him working experience in Australia, Africa, Asia and the Americas. T Dr Fei Guo is an Associate Professor of Demography in the Department of Marketing and Management at Macquarie University, Australia. She received her Ph.D. from the University of Hawaii in 1996. Her main research interests have been skilled and return migration in the Asia Pacific region, internal migration in China and migrant communities in Australia. Her other research interests include ageing and migrant health, diaspora and transnationalism. She is also interested in the areas of internationalisation of highly skilled professionals and the localisation of workforce in international corporations. David A. Swanson is Professor of Sociology at the University of California Riverside. His Ph.D. and M.A. are from the University of Hawai'i (Sociology, with a concentration in Population Studies) and his B.Sc. is from Western Washington University (with a major in Sociology and a minor in Mathematics). Swanson also holds a graduate diploma in Social Sciences from the University of Stockholm. He served as member of the U. S. Census Bureau's Scientific Advisory Committee for six years (2004-10). He has testified before the US Congress and state legislative bodies. Swanson also has served as an expert witness in court cases and is the recipient of two Fulbright awards. Swanson has served as a state demographer (Alaska, Arkansas, and Oregon), a Department Chair (University of Mississippi and Pacific Lutheran University) and a Dean (Helsinki School of Economics and Business Administration).

Inhalt

1: 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.