Suchergebnisse

Cover -- Title Page -- Copyright Page -- Foreword -- Table of Contents -- 1: The Use of Demographic Statistics -- 2: The Tools of Demography -- 3: Source Materials -- 4: The Population Census -- 5: Fertility Measurement -- 6: Marriage Rates -- 7: Mortality Measurement -- 8: Migration -- 9: Population Estimation and Projection -- 10: Sickness Measurement -- 11: Manpower Statistics -- Index.

Intro -- Preface -- Contents -- 1 Introduction -- References -- Part I Analyzing Dynamic Fertility -- 2 Amplified Changes: An Analysis of Four DynamicFertility Models -- 2.1 Introduction -- 2.2 Fertility Models -- 2.3 Ryder's Approximation -- 2.4 Moving Targets -- 2.5 Period Shifts -- 2.6 Cohort Shifts -- 2.7 An Illustrative Application to the United States -- 2.8 Discussion -- Appendix: Tempo Adjustment for the Cohort-Shift Model -- References -- Part II Dynamic Mortality and Morbidity -- 3 Am I Halfway? Life Lived=Expected Life -- 3.1 Methods and Data -- 3.1.1 Halfway-Age -- 3.1.2 Mortality Models -- 3.1.3 Empirical Time Trends -- 3.1.4 Forecasting Cohort Halfway-Age -- 3.2 Results -- 3.3 Discussion -- Appendix: The Forecasting "Gap Method" -- References -- 4 Revisiting Life Expectancy Rankings in Countries that Have Experienced Fast Mortality Decline -- 4.1 Introduction -- 4.2 Data and Methods -- 4.3 Results -- 4.3.1 France vs. Sweden -- 4.3.2 Countries of the HMD -- 4.4 Discussion -- 4.4.1 The Momentum of Cohort Mortality Disadvantage -- 4.5 Conclusion -- References -- 5 Changing Mortality Patterns and Their Predictability: The Case of the United States -- 5.1 Introduction: Challenges in Mortality Forecasting -- 5.2 Mortality Development in the United States -- 5.2.1 Life Expectancy at Birth -- 5.2.2 Death Rates and Change of Mortality -- 5.2.3 Driving Factors -- 5.2.3.1 Cigarette Smoking -- 5.2.3.2 Obesity -- 5.2.3.3 High Sodium Intake -- 5.3 Mortality Forecasting Approaches -- 5.3.1 Common Approaches -- 5.3.2 Our Model -- 5.4 Forecasting Mortality -- 5.4.1 Prospective Forecasts -- 5.4.2 Validating Forecasts -- 5.5 Summary and Concluding Remarks -- References -- 6 Modeling the Dynamics of an HIV Epidemic -- 6.1 Introduction -- 6.2 Background -- 6.2.1 Dynamics of HIV Incidence -- 6.2.2 Tanzania -- 6.3 Methods -- 6.3.1 Data -- 6.3.2 Model.

Vol. 1. 11,1992. - IX,51 S. : 9 graph. Darst., zahlr. Tab.; Vol. 3. Raw data. - 11.1992. - 17 S. : 17 Tab

Demography is typically defined as the study of human populations and the changes in their quantity associated with migration, fertility, and mortality. The term demography comes from Greek word and means "describing people." Thus, this discipline deals with the characteristics of the population, taking into account features such as, sex ratio, age structure, composition, spatial distribution, and population density. In addition, sometimes a distinction is made between "formal demography" or "demographic analysis," which includes the statistical analysis of population parameters and their dynamics, and "population studies," that is, the analysis of the causes and effects of changes in the structure of the population in a broader context and in connection with other phenomena and processes.

This book provides an up-to-date overview of demographic analysis and methods, including recent developments in demography. Concepts and methods, from the nature of demographic information through data collection and the basics of statistical measures and on to demographic analysis itself are succinctly explained. Measures and analyses of fertility, mortality, life tables, migration and demographic events such as marriage, education and labour force are described while later chapters cover multiple decrement tables, population projections, the importance of testing and smoothing demographic data, the stable population model and demographic software. An emphasis on practical aspects and the use of real-life examples based on data from around the globe make this book accessible, whilst comprehensive references and links to data and other resources on the internet help readers to explore further. The text is concise and well written, making it ideally suited to a wider audience from students to academics and teachers. Students of demography, geography, sociology, economics, as well as professionals, academics and students of marketing, human resource management, and public health who have an interest in population issues will all find this book useful