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This book presents the culmination of our collaborative research, going back over 15 years (Rogers & Little, 1994), and for one of us, even longer (Rogers, 1967, 1973). It addresses a dif?cult, yet necessary, area of demographic research: what to do in data situations characterized by irregular, inadequate, or missing data. A common solution within the demographic community has been what is generally referred to as “indirect estimation”. In our work the focus has been on the indirect estimation of migration, and our use of the term “indirect” follows the description given in the 1983 United Nations manual, which de?ned it as “techniques suited for analysis of incomplete or defective demographic data” (United Nations, 1983, p. 1). We wrote this book with a goal to make it accessible to a reader familiar with introductory statistical modeling, at the level of regression and categorical data an- ysis using log – linear models. It is primarily intended to serve as a reference work for demographers, sociologists, geographers, economists, and regional planners.
This guide to small area estimation aims to help users compile more reliable granular or disaggregated data in cost-effective ways. It explains small area estimation techniques with examples of how the easily accessible R analytical platform can be used to implement them, particularly to estimate indicators on poverty, employment, and health outcomes. The guide is intended for staff of national statistics offices and for other development practitioners. It aims to help them to develop and implement targeted socioeconomic policies to ensure that the vulnerable segments of societies are not left behind, and to monitor progress toward the Sustainable Development Goals.
This book offers an ideal introduction to the analysis of demographic data. Inside, readers of all quantitative skill levels will find the information they need to develop a solid understanding of the methods used to study human populations and how they change over time due to such factors as birth, death, and migration. The comprehensive, systematic coverage defines basic concepts and introduces data sources; champions the use of Lexis diagrams as a device for visualizing demographic measures; highlights the importance of making comparisons (whether over time or between populations at a point in time) that control for differences in population composition; describes approaches to analyzing mortality, fertility, and migration; and details approaches to the important field of population projection. Throughout, the author makes the material accessible for readers through careful exposition, the use of examples, and other helpful features. This book's thorough coverage of basic concepts and principles lays a firm foundation for anyone contemplating undertaking demographic research, whether in a university setting or in a professional employment that takes on a demographic dimension requiring in-house training.
An accessible introduction to indirect estimation methods, both traditional and model-based. Readers will also find the latest methods for measuring the variability of the estimates as well as the techniques for model validation. Uses a basic area-level linear model to illustrate the methods Presents the various extensions including binary response data through generalized linear models and time series data through linear models that combine cross-sectional and time series features Provides recent applications of SAE including several in U.S. Federal programs Offers a comprehensive discussion of the design issues that impact SAE
The publication is an international standard on the design and operation of an efficient and accurate vital statistics system at national level. It provides guidelines on collection, compiling and disseminating vital statistics. More specifically it contains (a) basic principles for a vital statistics system; (b) uses of vital statistics and civil registration records; (c) topics to be covered in a vital statistics system; (d) sources of vital statistics and how they function; (e) quality assurance in the vital statistics system and (f) strategies in improving civil registration and vital statistics systems in countries. It also informs policy makers and the general public on the importance of vital statistics and hence further improving the vital statistics system.
There have always been homeless people in the United States, but their plight has only recently stirred widespread public reaction and concern. Part of this new recognition stems from the problem's prevalence: the number of homeless individuals, while hard to pin down exactly, is rising. In light of this, Congress asked the Institute of Medicine to find out whether existing health care programs were ignoring the homeless or delivering care to them inefficiently. This book is the report prepared by a committee of experts who examined these problems through visits to city slums and impoverished rural areas, and through an analysis of papers written by leading scholars in the field.
This book presents a historical panorama of the evolution of demographic thought from its eighteenth-century origins up to the present day. The book uses this to demonstrate how the multilevel approach can resolve some of the contradictions that have become apparent and achieve a synthesis of the different approaches employed. This is both a textbook and an assessment of the multilevel analysis that broadens the scope of demography with its approach.
Using Science to Improve the BLM Wild Horse and Burro Program: A Way Forward reviews the science that underpins the Bureau of Land Management's oversight of free-ranging horses and burros on federal public lands in the western United States, concluding that constructive changes could be implemented. The Wild Horse and Burro Program has not used scientifically rigorous methods to estimate the population sizes of horses and burros, to model the effects of management actions on the animals, or to assess the availability and use of forage on rangelands. Evidence suggests that horse populations are growing by 15 to 20 percent each year, a level that is unsustainable for maintaining healthy horse populations as well as healthy ecosystems. Promising fertility-control methods are available to help limit this population growth, however. In addition, science-based methods exist for improving population estimates, predicting the effects of management practices in order to maintain genetically diverse, healthy populations, and estimating the productivity of rangelands. Greater transparency in how science-based methods are used to inform management decisions may help increase public confidence in the Wild Horse and Burro Program.