Analysis Of Poverty Data By Small Area Estimation

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Analysis of Poverty Data by Small Area Estimation

Author : Monica Pratesi
Publisher : John Wiley & Sons
Page : 485 pages
File Size : 44,9 Mb
Release : 2016-02-23
Category : Mathematics
ISBN : 9781118815014

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Analysis of Poverty Data by Small Area Estimation by Monica Pratesi Pdf

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.

Introduction to Small Area Estimation Techniques

Author : Asian Development Bank
Publisher : Asian Development Bank
Page : 152 pages
File Size : 44,9 Mb
Release : 2020-05-01
Category : Business & Economics
ISBN : 9789292622237

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Introduction to Small Area Estimation Techniques by Asian Development Bank Pdf

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.

Small-Area Estimates of School-Age Children in Poverty

Author : Constance F. Citro,National Research Council Staff,National Research Council (U.S.). Panel on Estimates of Poverty for Small Geographic Areas
Publisher : Unknown
Page : 186 pages
File Size : 40,9 Mb
Release : 2024-06-29
Category : Children
ISBN : 0585085013

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Small-Area Estimates of School-Age Children in Poverty by Constance F. Citro,National Research Council Staff,National Research Council (U.S.). Panel on Estimates of Poverty for Small Geographic Areas Pdf

Administrative Records for Survey Methodology

Author : Asaph Young Chun,Michael D. Larsen,Gabriele Durrant,Jerome P. Reiter
Publisher : John Wiley & Sons
Page : 384 pages
File Size : 44,6 Mb
Release : 2021-04-06
Category : Mathematics
ISBN : 9781119272045

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Administrative Records for Survey Methodology by Asaph Young Chun,Michael D. Larsen,Gabriele Durrant,Jerome P. Reiter Pdf

ADMINISTRATIVE RECORDS FOR SURVEY METHODOLOGY Addresses the international use of administrative records for large-scale surveys, censuses, and other statistical purposes Administrative Records for Survey Methodology is a comprehensive guide to improving the quality, cost-efficiency, and interpretability of surveys and censuses using administrative data research. Contributions from a team of internationally-recognized experts provide practical approaches for integrating administrative data in statistical surveys, and discuss the methodological issues—including concerns of privacy, confidentiality, and legality—involved in collecting and analyzing administrative records. Numerous real-world examples highlight technological and statistical innovations, helping readers gain a better understanding of both fundamental methods and advanced techniques for controlling data quality reducing total survey error. Divided into four sections, the first describes the basics of administrative records research and addresses disclosure limitation and confidentiality protection in linked data. Section two focuses on data quality and linking methodology, covering topics such as quality evaluation, measuring and controlling for non-consent bias, and cleaning and using administrative lists. The third section examines the use of administrative records in surveys and includes case studies of the Swedish register-based census and the administrative records applications used for the US 2020 Census. The book’s final section discusses combining administrative and survey data to improve income measurement, enhancing health surveys with data linkage, and other uses of administrative data in evidence-based policymaking. This state-of-the-art resource: Discusses important administrative data issues and suggests how administrative data can be integrated with more traditional surveys Describes practical uses of administrative records for evidence-driven decisions in both public and private sectors Emphasizes using interdisciplinary methodology and linking administrative records with other data sources Explores techniques to leverage administrative data to improve the survey frame, reduce nonresponse follow-up, assess coverage error, measure linkage non-consent bias, and perform small area estimation. Administrative Records for Survey Methodology is an indispensable reference and guide for statistical researchers and methodologists in academia, industry, and government, particularly census bureaus and national statistical offices, and an ideal supplemental text for undergraduate and graduate courses in data science, survey methodology, data collection, and data analysis methods.

Research Handbook on Measuring Poverty and Deprivation

Author : Jacques Silber
Publisher : Edward Elgar Publishing
Page : 777 pages
File Size : 46,7 Mb
Release : 2023-03-02
Category : Business & Economics
ISBN : 9781800883451

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Research Handbook on Measuring Poverty and Deprivation by Jacques Silber Pdf

Encompassing chapters that address both unidimensional and multidimensional poverty, this timely Research Handbook explores all aspects of poverty and deprivation measurement, not only detailing broad issues but also scrutinising specific domains and aspects of poverty, such as health, energy and housing. Its succinct and highly focussed chapters, written by a diverse range of authors, employ a combination of theoretical and empirical methodologies to offer well-rounded explorations of complex topics.

Small Area Estimation

Author : J. N. K. Rao,Isabel Molina
Publisher : John Wiley & Sons
Page : 480 pages
File Size : 51,8 Mb
Release : 2015-08-24
Category : Mathematics
ISBN : 9781118735787

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Small Area Estimation by J. N. K. Rao,Isabel Molina Pdf

Praise for the First Edition "This pioneering work, in which Rao provides a comprehensive and up-to-date treatment of small area estimation, will become a classic...I believe that it has the potential to turn small area estimation...into a larger area of importance to both researchers and practitioners." —Journal of the American Statistical Association Written by two experts in the field, Small Area Estimation, Second Edition provides a comprehensive and up-to-date account of the methods and theory of small area estimation (SAE), particularly indirect estimation based on explicit small area linking models. The model-based approach to small area estimation offers several advantages including increased precision, the derivation of "optimal" estimates and associated measures of variability under an assumed model, and the validation of models from the sample data. Emphasizing real data throughout, the Second Edition maintains a self-contained account of crucial theoretical and methodological developments in the field of SAE. The new edition provides extensive accounts of new and updated research, which often involves complex theory to handle model misspecifications and other complexities. Including information on survey design issues and traditional methods employing indirect estimates based on implicit linking models, Small Area Estimation, Second Edition also features: Additional sections describing the use of R code data sets for readers to use when replicating applications Numerous examples of SAE applications throughout each chapter, including recent applications in U.S. Federal programs New topical coverage on extended design issues, synthetic estimation, further refinements and solutions to the Fay-Herriot area level model, basic unit level models, and spatial and time series models A discussion of the advantages and limitations of various SAE methods for model selection from data as well as comparisons of estimates derived from models to reliable values obtained from external sources, such as previous census or administrative data Small Area Estimation, Second Edition is an excellent reference for practicing statisticians and survey methodologists as well as practitioners interested in learning SAE methods. The Second Edition is also an ideal textbook for graduate-level courses in SAE and reliable small area statistics.

Small Area Estimation and Microsimulation Modeling

Author : Azizur Rahman,Ann Harding
Publisher : CRC Press
Page : 522 pages
File Size : 54,8 Mb
Release : 2016-11-30
Category : Mathematics
ISBN : 9781482260731

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Small Area Estimation and Microsimulation Modeling by Azizur Rahman,Ann Harding Pdf

Small Area Estimation and Microsimulation Modeling is the first practical handbook that comprehensively presents modern statistical SAE methods in the framework of ultramodern spatial microsimulation modeling while providing the novel approach of creating synthetic spatial microdata. Along with describing the necessary theories and their advantages and limitations, the authors illustrate the practical application of the techniques to a large number of substantive problems, including how to build up models, organize and link data, create synthetic microdata, conduct analyses, yield informative tables and graphs, and evaluate how the findings effectively support the decision making processes in government and non-government organizations. Features Covers both theoretical and applied aspects for real-world comparative research and regional statistics production Thoroughly explains how microsimulation modeling technology can be constructed using available datasets for reliable small area statistics Provides SAS codes that allow readers to utilize these latest technologies in their own work. This book is designed for advanced graduate students, academics, professionals and applied practitioners who are generally interested in small area estimation and/or microsimulation modeling and dealing with vital issues in social and behavioural sciences, applied economics and policy analysis, government and/or social statistics, health sciences, business, psychology, environmental and agriculture modeling, computational statistics and data simulation, spatial statistics, transport and urban planning, and geospatial modeling. Dr Azizur Rahman is a Senior Lecturer in Statistics and convenor of the Graduate Program in Applied Statistics at the Charles Sturt University, and an Adjunct Associate Professor of Public Health and Biostatistics at the University of Canberra. His research encompasses small area estimation, applied economics, microsimulation modeling, Bayesian inference and public health. He has more than 60 scholarly publications including two books. Dr. Rahman’s research is funded by the Australian Federal and State Governments, and he serves on a range of editorial boards including the International Journal of Microsimulation (IJM). Professor Ann Harding, AO is an Emeritus Professor of Applied Economics and Social Policy at the National Centre for Social and Economic Modelling (NATSEM) of the University of Canberra. She was the founder and inaugural Director of this world class Research Centre for more than sixteen years, and also a co-founder of the International Microsimulation Association (IMA) and served as the inaugural elected president of IMA from 2004 to 2011. She is a fellow of the Academy of the Social Sciences in Australia. She has more than 300 publications including several books in microsimulation modeling.

A Course on Small Area Estimation and Mixed Models

Author : Domingo Morales,María Dolores Esteban,Agustín Pérez,Tomáš Hobza
Publisher : Springer Nature
Page : 606 pages
File Size : 41,5 Mb
Release : 2021-03-12
Category : Social Science
ISBN : 9783030637576

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A Course on Small Area Estimation and Mixed Models by Domingo Morales,María Dolores Esteban,Agustín Pérez,Tomáš Hobza Pdf

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.

Spatial Microsimulation: A Reference Guide for Users

Author : Robert Tanton,Kimberley Edwards
Publisher : Springer Science & Business Media
Page : 272 pages
File Size : 47,7 Mb
Release : 2012-11-13
Category : Social Science
ISBN : 9789400746237

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Spatial Microsimulation: A Reference Guide for Users by Robert Tanton,Kimberley Edwards Pdf

This book is a practical guide on how to design, create and validate a spatial microsimulation model. These models are becoming more popular as academics and policy makers recognise the value of place in research and policy making. Recent spatial microsimulation models have been used to analyse health and social disadvantage for small areas; and to look at the effect of policy change for small areas. This provides a powerful analysis tool for researchers and policy makers. This book covers preparing the data for spatial microsimulation; a number of methods for both static and dynamic spatial microsimulation models; validation of the models to ensure the outputs are reasonable; and the future of spatial microsimulation. The book will be an essential handbook for any researcher or policy maker looking to design and create a spatial microsimulation model. This book will also be useful to those policy makers who are commissioning a spatial microsimulation model, or looking to commission work using a spatial microsimulation model, as it provides information on the different methods in a non-technical way.

Small-Area Income and Poverty Estimates

Author : National Research Council,Commission on Behavioral and Social Sciences and Education,Committee on National Statistics,Panel on Estimates of Poverty for Small Geographic Areas
Publisher : National Academies Press
Page : 221 pages
File Size : 52,7 Mb
Release : 2000-09-25
Category : Political Science
ISBN : 9780309071468

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Small-Area Income and Poverty Estimates by National Research Council,Commission on Behavioral and Social Sciences and Education,Committee on National Statistics,Panel on Estimates of Poverty for Small Geographic Areas Pdf

Recent trends in federal policies for social and economic programs have increased the demand for timely, accurate estimates of income and poverty for states, counties, and even smaller areas. Every year more than $130 billion in federal funds is allocated to states and localities through formulas that use such estimates. These funds support a wide range of programs that include child care, community development, education, job training, nutrition, and public health. A new program of the U.S. Census Bureau is now providing more timely estimates for these programs than those from the decennial census, which have been used for many years. These new estimates are being used to allocate more than $7 billion annually to school districts, through the Title I program that supports educationally disadvantaged children. But are these estimates as accurate as possible given the available data? How can the statistical models and data that are used to develop the estimates be improved? What should policy makers consider in selecting particular estimates? This new book from the National Research Council provides guidance for improving the Census Bureau's program and for policy makers who use such estimates for allocating funds.

Combining Soft Computing and Statistical Methods in Data Analysis

Author : Christian Borgelt,Gil González Rodríguez,Wolfgang Trutschnig,María Asunción Lubiano,María Angeles Gil,Przemyslaw Grzegorzewski,Olgierd Hryniewicz
Publisher : Springer Science & Business Media
Page : 640 pages
File Size : 45,9 Mb
Release : 2010-10-12
Category : Technology & Engineering
ISBN : 9783642147463

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Combining Soft Computing and Statistical Methods in Data Analysis by Christian Borgelt,Gil González Rodríguez,Wolfgang Trutschnig,María Asunción Lubiano,María Angeles Gil,Przemyslaw Grzegorzewski,Olgierd Hryniewicz Pdf

Over the last forty years there has been a growing interest to extend probability theory and statistics and to allow for more flexible modelling of imprecision, uncertainty, vagueness and ignorance. The fact that in many real-life situations data uncertainty is not only present in the form of randomness (stochastic uncertainty) but also in the form of imprecision/fuzziness is but one point underlining the need for a widening of statistical tools. Most such extensions originate in a "softening" of classical methods, allowing, in particular, to work with imprecise or vague data, considering imprecise or generalized probabilities and fuzzy events, etc. About ten years ago the idea of establishing a recurrent forum for discussing new trends in the before-mentioned context was born and resulted in the first International Conference on Soft Methods in Probability and Statistics (SMPS) that was held in Warsaw in 2002. In the following years the conference took place in Oviedo (2004), in Bristol (2006) and in Toulouse (2008). In the current edition the conference returns to Oviedo. This edited volume is a collection of papers presented at the SMPS 2010 conference held in Mieres and Oviedo. It gives a comprehensive overview of current research into the fusion of soft methods with probability and statistics.

Poverty and Social Exclusion

Author : Gianni Betti,Achille Lemmi
Publisher : Routledge
Page : 344 pages
File Size : 53,5 Mb
Release : 2013-07-18
Category : Business & Economics
ISBN : 9781136196300

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Poverty and Social Exclusion by Gianni Betti,Achille Lemmi Pdf

Poverty and inequality remain at the top of the global economic agenda, and the methodology of measuring poverty continues to be a key area of research. This new book, from a leading international group of scholars, offers an up to date and innovative survey of new methods for estimating poverty at the local level, as well as the most recent multidimensional methods of the dynamics of poverty. It is argued here that measures of poverty and inequality are most useful to policy-makers and researchers when they are finely disaggregated into small geographic units. Poverty and Social Exclusion: New Methods of Analysis is the first attempt to compile the most recent research results on local estimates of multidimensional deprivation. The methods offered here take both traditional and multidimensional approaches, with a focus on using the methodology for the construction of time-related measures of deprivation at the individual and aggregated levels. In analysis of persistence over time, the book also explores whether the level of deprivation is defined in terms of relative inequality in society, or in relation to some supposedly absolute standard. This book is of particular importance as the continuing international economic and financial crisis has led to the impoverishment of segments of population as a result of unemployment, bankruptcy, and difficulties in obtaining credit. The volume will therefore be of interest to all those working on economic, econometric and statistical methods and empirical analyses in the areas of poverty, social exclusion and income inequality.

Choosing a Method for Poverty Mapping

Author : Benjamin Davis
Publisher : Food & Agriculture Org.
Page : 64 pages
File Size : 55,7 Mb
Release : 2003
Category : Business & Economics
ISBN : 9251049203

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Choosing a Method for Poverty Mapping by Benjamin Davis Pdf

Presents and compares a large selection of poverty and food-security mapping methodologies in use. The choice of a poverty-mapping methodology depends on a number of logical and legitimate considerations, such as the objectives of the poverty mapping exercise, philosophical views on poverty, limits on data and analytical capacity, and cost.

The Science of Health Disparities Research

Author : Irene Dankwa-Mullan,Eliseo J. Pérez-Stable,Kevin L. Gardner,Xinzhi Zhang,Adelaida M. Rosario
Publisher : John Wiley & Sons
Page : 548 pages
File Size : 43,6 Mb
Release : 2021-03-16
Category : Science
ISBN : 9781119374817

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The Science of Health Disparities Research by Irene Dankwa-Mullan,Eliseo J. Pérez-Stable,Kevin L. Gardner,Xinzhi Zhang,Adelaida M. Rosario Pdf

Integrates the various disciplines of the science of health disparities in one comprehensive volume The Science of Health Disparities Research is an indispensable source of up-to-date information on clinical and translational health disparities science. Building upon the advances in health disparities research over the past decade, this authoritative volume informs policies and practices addressing the diseases, disorders, and gaps in health outcomes that are more prevalent in minority populations and socially disadvantaged communities. Contributions by recognized scholars and leaders in the field—featuring contemporary research, conceptual models, and a broad range of scientific perspectives—provide an interdisciplinary approach to reducing inequalities in population health, encouraging community engagement in the research process, and promoting social justice. In-depth chapters help readers better understand the specifics of minority health and health disparities while demonstrating the importance of advancing theory, refining measurement, improving investigative methods, and diversifying scientific research. In 26 chapters, the book examines topics including the etiology of health disparities research, the determinants of population health, research ethics, and research in African American, Asians, Latino, American Indian, and other vulnerable populations. Providing a unified framework on the principles and applications of the science of health disparities research, this important volume: Defines the field of health disparities science and suggests new directions in scholarship and research Explains basic definitions, principles, and concepts for identifying, understanding and addressing health disparities Provides guidance on both conducting health disparities research and translating the results Examines how social, historical and contemporary injustices may influence the health of racial and ethnic minorities Illustrates the increasing national and global importance of addressing health disparities Discusses population health training, capacity-building, and the transdisciplinary tools needed to advance health equity A significant contribution to the field, The Science of Health Disparities Research is an essential resource for students and basic and clinical researchers in genetics, population genetics, and public health, health care policymakers, and epidemiologists, medical students, and clinicians, particularly those working with minority, vulnerable, or underserved populations.

Poverty and Inequality in Vietnam

Author : Nicholas Minot,Bob Baulch,Michael Epprecht
Publisher : International Food Policy Research Insitute
Page : 100 pages
File Size : 49,8 Mb
Release : 2006
Category : Equality
ISBN : CORNELL:31924101451213

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Poverty and Inequality in Vietnam by Nicholas Minot,Bob Baulch,Michael Epprecht Pdf