[PDF] Small Area Analysis eBook

Author : Monica Pratesi
Publisher : John Wiley & Sons
Page : 485 pages
File Size : 21,93 MB
Release : 2016-02-23
Category : Mathematics
ISBN : 1118815017

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A comprehensive guide to implementing SAE methods for poverty studies and poverty mapping There is an increasingly urgent demand for poverty and living conditions data, in relation to local areas and/or subpopulations. Policy makers and stakeholders need indicators and maps of poverty and living conditions in order to formulate and implement policies, (re)distribute resources, and measure the effect of local policy actions. Small Area Estimation (SAE) plays a crucial role in producing statistically sound estimates for poverty mapping. This book offers a comprehensive source of information regarding the use of SAE methods adapted to these distinctive features of poverty data derived from surveys and administrative archives. The book covers the definition of poverty indicators, data collection and integration methods, the impact of sampling design, weighting and variance estimation, the issue of SAE modelling and robustness, the spatio-temporal modelling of poverty, and the SAE of the distribution function of income and inequalities. Examples of data analyses and applications are provided, and the book is supported by a website describing scripts written in SAS or R software, which accompany the majority of the presented methods. Key features: Presents a comprehensive review of SAE methods for poverty mapping Demonstrates the applications of SAE methods using real-life case studies Offers guidance on the use of routines and choice of websites from which to download them Analysis of Poverty Data by Small Area Estimation offers an introduction to advanced techniques from both a practical and a methodological perspective, and will prove an invaluable resource for researchers actively engaged in organizing, managing and conducting studies on poverty.

Author : Everett S. Lee
Publisher : SAGE Publications, Incorporated
Page : 256 pages
File Size : 47,15 MB
Release : 1982-04
Category : Reference
ISBN :

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Five innovative methods of establishing the population characteristics of small areas are introduced and evaluated in this book. Changes in communities can be slow, but recent history has seen huge growth in some areas and depopulation of others. As a result, population estimating has grown up under pressure from legislators and administrators who place a high premium on validity. The contributors to this volume provide ideas that have been tested in practice, anticipate the usual types of error, and are suitable for different purposes.

Author : A. L. Hansell
Publisher : Oxford University Press, USA
Page : 289 pages
File Size : 46,99 MB
Release : 2014
Category : Medical
ISBN : 0198706944

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An authoritative collection of over 80 full color maps discussing the geographic patterns of disease and potential exposure to various pollutants in England and Wales.

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
Page : 583 pages
File Size : 22,99 MB
Release : 2017-04-27
Category : Medical
ISBN : 0309452961

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In the United States, some populations suffer from far greater disparities in health than others. Those disparities are caused not only by fundamental differences in health status across segments of the population, but also because of inequities in factors that impact health status, so-called determinants of health. Only part of an individual's health status depends on his or her behavior and choice; community-wide problems like poverty, unemployment, poor education, inadequate housing, poor public transportation, interpersonal violence, and decaying neighborhoods also contribute to health inequities, as well as the historic and ongoing interplay of structures, policies, and norms that shape lives. When these factors are not optimal in a community, it does not mean they are intractable: such inequities can be mitigated by social policies that can shape health in powerful ways. Communities in Action: Pathways to Health Equity seeks to delineate the causes of and the solutions to health inequities in the United States. This report focuses on what communities can do to promote health equity, what actions are needed by the many and varied stakeholders that are part of communities or support them, as well as the root causes and structural barriers that need to be overcome.

Author : Domingo Morales
Publisher : Springer Nature
Page : 606 pages
File Size : 11,52 MB
Release : 2021-03-12
Category : Social Science
ISBN : 3030637573

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This advanced textbook explores small area estimation techniques, covers the underlying mathematical and statistical theory and offers hands-on support with their implementation. It presents the theory in a rigorous way and compares and contrasts various statistical methodologies, helping readers understand how to develop new methodologies for small area estimation. It also includes numerous sample applications of small area estimation techniques. The underlying R code is provided in the text and applied to four datasets that mimic data from labor markets and living conditions surveys, where the socioeconomic indicators include the small area estimation of total unemployment, unemployment rates, average annual household incomes and poverty indicators. Given its scope, the book will be useful for master and PhD students, and for official and other applied statisticians.

Author : Nicholas T. Longford
Publisher : Springer Science & Business Media
Page : 357 pages
File Size : 25,83 MB
Release : 2005-11-24
Category : Mathematics
ISBN : 1846281954

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This book evolved from lectures, courses and workshops on missing data and small-area estimation that I presented during my tenure as the ?rst C- pion Fellow (2000–2002). For the Fellowship I proposed these two topics as areas in which the academic statistics could contribute to the development of government statistics, in exchange for access to the operational details and background that would inform the direction and sharpen the focus of a- demic research. After a few years of involvement, I have come to realise that the separation of ‘academic’ and ‘industrial’ statistics is not well suited to either party, and their integration is the key to progress in both branches. Most of the work on this monograph was done while I was a visiting l- turer at Massey University, Palmerston North, New Zealand. The hospitality and stimulating academic environment of their Institute of Information S- ence and Technology is gratefully acknowledged. I could not name all those who commented on my lecture notes and on the presentations themselves; apart from them, I want to thank the organisers and silent attendees of all the events, and, with a modicum of reluctance, the ‘grey ?gures’ who kept inquiring whether I was any nearer the completion of whatever stage I had been foolish enough to attach a date.