Small Area Estimation And Microsimulation Modeling

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Small Area Estimation and Microsimulation Modeling

Author : Azizur Rahman,Ann Harding
Publisher : CRC Press
Page : 555 pages
File Size : 50,7 Mb
Release : 2016-11-30
Category : Mathematics
ISBN : 9781315354941

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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.

Small Area Estimation and Microsimulation Modeling

Author : Azizur Rahman,Ann Harding
Publisher : CRC Press
Page : 522 pages
File Size : 52,9 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.

Small Area Estimation

Author : J. N. K. Rao,Isabel Molina
Publisher : John Wiley & Sons
Page : 480 pages
File Size : 51,7 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.

Spatial Microsimulation: A Reference Guide for Users

Author : Robert Tanton,Kimberley Edwards
Publisher : Springer Science & Business Media
Page : 272 pages
File Size : 54,7 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.

Introduction to Small Area Estimation Techniques

Author : Asian Development Bank
Publisher : Asian Development Bank
Page : 152 pages
File Size : 47,6 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.

Handbook of Microsimulation Modelling

Author : Anonim
Publisher : Emerald Group Publishing
Page : 360 pages
File Size : 50,5 Mb
Release : 2014-11-06
Category : Business & Economics
ISBN : 9781783505708

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Handbook of Microsimulation Modelling by Anonim Pdf

Microsimulation Modelling involves the application of simulation methods to micro data for the purposes of evaluating the effectiveness and improving the design of public policy. The field has been applied to many different policies within both government and academia. This handbook describes and discusses the main issues within the field.

Small area estimation in forest inventories: New needs, methods, and tools

Author : Barry Wilson,John Coulston,Steve Prisley,Philip Radtke
Publisher : Frontiers Media SA
Page : 198 pages
File Size : 47,5 Mb
Release : 2023-04-17
Category : Science
ISBN : 9782832516478

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Small area estimation in forest inventories: New needs, methods, and tools by Barry Wilson,John Coulston,Steve Prisley,Philip Radtke Pdf

Current Trends in Bayesian Methodology with Applications

Author : Satyanshu K. Upadhyay,Umesh Singh,Dipak K. Dey,Appaia Loganathan
Publisher : CRC Press
Page : 674 pages
File Size : 52,9 Mb
Release : 2015-05-21
Category : Mathematics
ISBN : 9781482235128

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Current Trends in Bayesian Methodology with Applications by Satyanshu K. Upadhyay,Umesh Singh,Dipak K. Dey,Appaia Loganathan Pdf

Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the latest methodological and applied aspects of Bayesian statistics. The book covers biostatistics, econometrics, reliability and risk analysis, spatial statistics, image analysis, shape analysis, Bayesian computation, clustering, uncertainty assessment, high-energy astrophysics, neural networking, fuzzy information, objective Bayesian methodologies, empirical Bayes methods, small area estimation, and many more topics. Each chapter is self-contained and focuses on a Bayesian methodology. It gives an overview of the area, presents theoretical insights, and emphasizes applications through motivating examples. This book reflects the diversity of Bayesian analysis, from novel Bayesian methodology, such as nonignorable response and factor analysis, to state-of-the-art applications in economics, astrophysics, biomedicine, oceanography, and other areas. It guides readers in using Bayesian techniques for a range of statistical analyses.

New Frontiers in Microsimulation Modelling

Author : Ann Harding
Publisher : Routledge
Page : 637 pages
File Size : 42,7 Mb
Release : 2017-10-19
Category : Social Science
ISBN : 9781351914932

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New Frontiers in Microsimulation Modelling by Ann Harding Pdf

In the past fifteen years, microsimulation models have become firmly established as vital tools for analysis of the distributional impact of changes in governmental programmes. Across Europe, the US, Canada and Australia, microsimulation models are used extensively to assess who are the winners and losers from proposed policy reforms; this is now expanding into new frontiers, both geographically and in terms of policy areas. With contributions from more than 60 international experts, this volume offers a comprehensive introduction to the state of microsimulation internationally, illustrating a wide range of new applications and approaches. It will be of relevance to government policy makers, social policy planners, economists and those concerned with predicting the impact of public policy change and to academics in a variety of disciplines, especially social and public policy, human geography, development studies and economics.

Analysis of Poverty Data by Small Area Estimation

Author : Monica Pratesi
Publisher : John Wiley & Sons
Page : 485 pages
File Size : 46,9 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.

Handbook of Spatial Analysis in the Social Sciences

Author : Sergio J. Rey,Rachel S. Franklin
Publisher : Edward Elgar Publishing
Page : 589 pages
File Size : 46,6 Mb
Release : 2022-11-18
Category : Technology & Engineering
ISBN : 9781789903942

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Handbook of Spatial Analysis in the Social Sciences by Sergio J. Rey,Rachel S. Franklin Pdf

Providing an authoritative assessment of the current landscape of spatial analysis in the social sciences, this cutting-edge Handbook covers the full range of standard and emerging methods across the social science domain areas in which these methods are typically applied. Accessible and comprehensive, it expertly answers the key questions regarding the dynamic intersection of spatial analysis and the social sciences.

GIS and the Social Sciences

Author : Dimitris Ballas,Graham Clarke,Rachel S. Franklin,Andy Newing
Publisher : Routledge
Page : 402 pages
File Size : 42,7 Mb
Release : 2017-09-18
Category : Science
ISBN : 9781317638827

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GIS and the Social Sciences by Dimitris Ballas,Graham Clarke,Rachel S. Franklin,Andy Newing Pdf

GIS and the Social Sciences offers a uniquely social science approach on the theory and application of GIS with a range of modern examples. It explores how human geography can engage with a variety of important policy issues through linking together GIS and spatial analysis, and demonstrates the importance of applied GIS and spatial analysis for solving real-world problems in both the public and private sector. The book introduces basic theoretical material from a social science perspective and discusses how data are handled in GIS, what the standard commands within GIS packages are, and what they can offer in terms of spatial analysis. It covers the range of applications for which GIS has been primarily used in the social sciences, offering a global perspective of examples at a range of spatial scales. The book explores the use of GIS in crime, health, education, retail location, urban planning, transport, geodemographics, emergency planning and poverty/income inequalities. It is supplemented with practical activities and datasets that are linked to the content of each chapter and provided on an eResource page. The examples are written using ArcMap to show how the user can access data and put the theory in the textbook to applied use using proprietary GIS software. This book serves as a useful guide to a social science approach to GIS techniques and applications. It provides a range of modern applications of GIS with associated practicals to work through, and demonstrates how researcher and policy makers alike can use GIS to plan services more effectively. It will prove to be of great interest to geographers, as well as the broader social sciences, such as sociology, crime science, health, business and marketing.

Handbook of Research Methods and Applications in Spatially Integrated Social Science

Author : Robert Stimson
Publisher : Edward Elgar Publishing
Page : 680 pages
File Size : 54,6 Mb
Release : 2014-07-31
Category : Social Science
ISBN : 9780857932976

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Handbook of Research Methods and Applications in Spatially Integrated Social Science by Robert Stimson Pdf

The chapters in this book provide coverage of the theoretical underpinnings and methodologies that typify research using a Spatially Integrated Social Science (SISS) approach. This insightful Handbook is intended chiefly as a primer for students and bu

Microsimulation Modelling for Policy Analysis

Author : Lavinia Mitton,Holly Sutherland,Melvyn Weeks
Publisher : Cambridge University Press
Page : 360 pages
File Size : 45,9 Mb
Release : 2000-09-21
Category : Business & Economics
ISBN : 0521790069

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Microsimulation Modelling for Policy Analysis by Lavinia Mitton,Holly Sutherland,Melvyn Weeks Pdf

Applications and methods of state of the art microsimulation modelling.

Hierarchical Modeling and Inference in Ecology

Author : J. Andrew Royle,Robert M. Dorazio
Publisher : Elsevier
Page : 464 pages
File Size : 49,5 Mb
Release : 2008-10-15
Category : Science
ISBN : 9780080559254

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Hierarchical Modeling and Inference in Ecology by J. Andrew Royle,Robert M. Dorazio Pdf

A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods. This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and metacommunity systems. The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures. The authors apply principles of hierarchical modeling to ecological problems, including * occurrence or occupancy models for estimating species distribution * abundance models based on many sampling protocols, including distance sampling * capture-recapture models with individual effects * spatial capture-recapture models based on camera trapping and related methods * population and metapopulation dynamic models * models of biodiversity, community structure and dynamics * Wide variety of examples involving many taxa (birds, amphibians, mammals, insects, plants) * Development of classical, likelihood-based procedures for inference, as well as Bayesian methods of analysis * Detailed explanations describing the implementation of hierarchical models using freely available software such as R and WinBUGS * Computing support in technical appendices in an online companion web site