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Bibliografická citace

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Cham : Springer International Publishing, 2017
1 online zdroj
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ISBN 978-3-319-43329-5 (e-kniha)
ISBN 978-3-319-43327-1 (print)
Applied Demography Series, ISSN 2352-376X ; 9
This 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..
Introduction -- 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.

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