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Swanson 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XV, 517 p. 90 illus., 60 illus. in color.) 225 1 $aApplied Demography Series,$x2352-376X ;$v9 311 $a3-319-43327-X 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aIntroduction -- Part I: Demographic Information for Decision-Making: Case Studies -- 1. Demographic-Based Market Analysis, China and India -- 2. Health Trend Drivers in the UK -- 3. Projecting VA Benefit Use in Texas -- 4. Fire Injuries in Anchorage.-5. Projecting the Need for Courtroom Service Provision in Australia -- 6. Projecting Assisted Living in Us -- 7. Projecting the Elderly in Australia. Part II: Data: Issues and Analyses -- 8. An Assessment of Historical Demographic Analysis Estimates for the Black Male Birth Cohorts of 1935-39. 9. Reporting of Race Among Hispanics: Analysis of ACS Data -- 10. Promises and Pitfalls of the Puerto Rico Community Survey: Lessons From Persons-per Household and Household Distributions. 11. State Longitudinal Data Systems: Applications to Applied Demography -- 12. How Does Access to Primary Care Vary by Type of Insurance and By Rural and Urban Counties in Mississippi? 13. Lifetime Migration in the United States As of 2006-2010: Measures, Patterns, and Applications -- 14. Census Costs: Rationale for Re-Designing Traditional Census Data Collection Methodology with the Census-Enhanced Master Address File -- Part III: Projection & Estimation Methods: Evaluations, Examples And Discussions -- 15. How Accurate Are Japan?s Official Subnational Projections? Comparative Analysis of Projections in Japan, English-Speaking Countries, and the EU -- 16. Integrated Local Demographic Forecasts Constrained by the Supply of Housing Or Jobs: Practice in the UK -- 17. Demographic Forecasting for Local Governments in Queensland, Australia ? Difficult, But Effective -- 18. Population Projections by Ethnicity: Challenges and Solutions for the United Kingdom -- 19. Revising Long-Standing Population Estimates in Australia: Reasons, Methods and Implications -- 20. Creating Population Surfaces for the Analysis of Small Area Change -- 21. Small-Area Population Forecasting: A Geographically Weighted Regression Approach -- 22. A New Method for Estimating Small Area Demographics and Its Application to Long-Term Population Projection -- 23. A Long Term Test of the Accuracy of the Hamilton-Perry Method for Forecasting State Populations By Age. . 330 $aThis book details cutting-edge methods and findings that may shape the future of applied demography. Inside, readers will discover new insights into the databases, substantive issues, and methodological approaches that can help them to improve how they use demography in decision making and planning problems in both public and private settings. The topics and perspectives are found in the book?s 23 chapters, which are organized into three major sections: (I) Demographic Information for Decision-Making: Case Studies; (II) Data: Issues and Analyses; and (III) Projection and Estimation Methods: Evaluations, Examples, and Discussions. Coverage includes chapters on migration, demographic market analysis, future courtroom needs, trends in the needs of the elderly, access to health care, longitudinal data systems, census costs, and new approaches to small area estimation and projection methods. The case studies represent a wide range of countries, including Australia, Canada, China, England, India, Japan, and the United States of America. Overall, this edited volume collects papers that were presented at different conferences, including the 8th international conference on population geographies (University of Queensland, 2015), the 2014 Applied Demography Conference (San Antonio, Texas, USA), and the annual conference of the Canadian Population Society. Applied demography touches many aspects of our lives and its practitioners continue to push methodological and empirical boundaries. This book documents the steady evolution of this field. It shows demographers, sociologists, economists, planners, marketers, and others how they can improve the quality and relevance of demographic information now and in the future. 410 0$aApplied Demography Series,$x2352-376X ;$v9 606 $aDemography 606 $aStatistics 606 $aPublic health 606 $aAging 606 $aEmigration and immigration 606 $aDemography$3https://scigraph.springernature.com/ontologies/product-market-codes/X25000 606 $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040 606 $aPublic Health$3https://scigraph.springernature.com/ontologies/product-market-codes/H27002 606 $aAging$3https://scigraph.springernature.com/ontologies/product-market-codes/X11000 606 $aMigration$3https://scigraph.springernature.com/ontologies/product-market-codes/X24000 615 0$aDemography. 615 0$aStatistics. 615 0$aPublic health. 615 0$aAging. 615 0$aEmigration and immigration. 615 14$aDemography. 615 24$aStatistics for Social Sciences, Humanities, Law. 615 24$aPublic Health. 615 24$aAging. 615 24$aMigration. 676 $a304.6 702 $aSwanson$b David A$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910150455003321 996 $aThe Frontiers of Applied Demography$92523076 997 $aUNINA