The initial plans for this book sprang from a late-afternoon conversation in a hotel bar. All three authors were attending the 1996 meeting of the Population As- ciation of America in New Orleans. While nursing drinks and expounding on a variety of topics, we began talking about our current research projects. It so happened that all three of us had been entertaining the notion of writing a book on state and local population projections. Recognizing the enormity of the project for a single author, we quickly decided to collaborate. Had we not decided to work together, it is unlikely that this book ever would have been written. The last comprehensive treatment of state and local population projections was Don Pittenger’s excellent work Projecting State and Local Populations (1976). Many changes affecting the production of population projections have occurred since that time. Technological changes have led to vast increases in computing power, new data sources, the development of GIS, and the creation of the Internet. The procedures for applying a number of projection methods have changed considerably, and several completely new methods have been developed.
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Jack Baker is a Senior Research Analyst with the HealthFitness Corporation, a Wellness and Health Promotion company based in Lake Forest, Illinois. He holds a Ph.D. in Anthropology from the University of New Mexico. In the applied demography world, Jack worked within the Federal State Cooperative Programs for Population Estimates and Projections for over a decade, served on the National Academies of Science's Panel to Review the 2010 Census (2009-2014) and its follow-up Standing Committee on Re-engineering the 2020 Census, and previously chaired the Population Association of America's Committee on Applied Demography. His research has spanned estimates and forecasts, with an emphasis on small-area models of population dynamics, and his work has appeared in various peer-reviewed journals. His current research focuses on the construction of integrated modelling frameworks spanning individual and population scales, with an emphasis on predictive analytics and forecasting applications inthe context of population health dynamics. His work makes use of methods from applied demography, statistical/machine learning, operations research, and biostatistics. David A. Swanson is Professor of Sociology at the University of California Riverside and an affiliate of the Demographic and Social Analysis Program at the University of California Irvine. He served as member of the U. S. Census Bureau's Scientific Advisory Committee for six years (2004-10) and chaired the group for two years (2008-10). In addition to many presentations, reports, and 30 non-refereed journal articles, Swanson has authored or co-authored over 90 refereed journal articles and 13 books (some as an editor or co-editor), mainly dealing with demography, especially methods for doing small area estimation and forecasting. Swanson has received more than $2.3 million in grants and contracts and has testified before the US Congress and state legislative bodies. He also has served as an expert witnessin court cases and is the recipient of two Fulbright awards. With Jeff Tayman as co-author, he received the Southern Demographic Association's 2016 Terrie Award for the best paper in applied demography and with Tayman and Charlie Barr received this same award in 1999. 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 and is reasonably fluent in Swedish. Jeff Tayman is a specialist in the evaluation of demographic estimates and forecasts; the development of estimation and forecasting methods; the design and application of statistical methods; and the development of complex, integrated data systems for small geographic areas. He has made 90 presentations at professional conferences and has published 27 articles in referred journals. His three co-authored books State and Local Population Projections: Methodology and Analysis, A Practitioner's Guide to State and Local Population Projections, and Subnational Population Estimates are standards in the field. Dr. Tayman has served on numerous federal, California, and local committees and is a reviewer for academic journals including Demography and Population and Research and Policy Review. He currently holds a part time appointment in the Economics Department at the University of California San Diego. His Ph.D. and M.S. degrees are from Florida State University (Sociology with a concentration in Demography and minor in Statistics) and B.A. degree is from Florida Atlantic University (with a major in Anthropology). Lucky M. Tedrow is the Director, Demographic Research Laboratory, Center for Social Science Instruction, Western Washington University. His research areas span applied and social demography. Research interests include antecedentsand outcomes of military s 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. TDr 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).
The initial plans for this book sprang from a late-afternoon conversation in a hotel bar. All three authors were attending the 1996 meeting of the Population As- ciation of America in New Orleans. While nursing drinks and expounding on a variety of topics, we began talking about our current research projects. It so happened that all three of us had been entertaining the notion of writing a book on state and local population projections. Recognizing the enormity of the project for a single author, we quickly decided to collaborate. Had we not decided to work together, it is unlikely that this book ever would have been written. The last comprehensive treatment of state and local population projections was Don Pittenger¿s excellent work Projecting State and Local Populations (1976). Many changes affecting the production of population projections have occurred since that time. Technological changes have led to vast increases in computing power, new data sources, the development of GIS, and the creation of the Internet. The procedures for applying a number of projection methods have changed considerably, and several completely new methods have been developed.
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