Small Area Estimation and Microsimulation Modeling

Azizur Rahman, Ann Harding

• Publisher: Chapman and Hall/CRC
• Year: 2016
• eBook ISBN: 9781482260731
• Edition: 1
• Topic: Mathematics
• Subtopic: Probability & Statistics
• Index: Mathematics

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

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• Covers both theoretical and applied aspects for real-world comparative research and regional statistics production

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• Thoroughly explains how microsimulation modeling technology can be constructed using available datasets for reliable small area statistics

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• 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.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Dedication
• Table of Contents
• List of Figures
• List of Tables
• Preface
• Acknowledgments
• List of Abbreviations
• 1: Introduction
• 2: Small Area Estimation
• 3: Indirect Estimation: Statistical Approaches
• 4: Indirect Estimation: Geographic Approaches
• 5: Bayesian Prediction–Based Microdata Simulation
• 6: Microsimulation Modeling Technology for Small Area Estimation
• 7: Applications of the Methodologies
• 8: Analysis of Small Area Estimates in Capital Cities
• 9: Validation and Measure of Statistical Reliability
• 10: Conclusions and Computing Codes
• References
• Appendix A: The Newton–Raphson Iteration Method
• Appendix B: Topics Index of the 2005–2006 Survey of Income and Housing: CURFs
• Appendix C: Tables of the Housing Stress for 50 SLAs with the Highest Numbers and Percentages Estimates
• Appendix D: Distribution of SLAs, Households, and Housing Stress by SSDs in Eight Major Capital Cities
• Appendix E: Spatial Analyses by Households Tenure Types for the Eight Capital Cities
• Appendix F: SAS Programming for the Reweighting Algorithms from Parts 2 to 10
• Index