Small Area Estimation and Microsimulation Modeling

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A01=Ann Harding
A01=Azizur Rahman
advanced spatial microsimulation techniques
Age Group_Uncategorized
Age Group_Uncategorized
Area Level Model
Author_Ann Harding
Author_Azizur Rahman
automatic-update
Bayesian inference
Buyer Households
Category1=Non-Fiction
Category=PBT
computational statistics
COP=United States
Data Sets
Delivery_Delivery within 10-20 working days
demographic modeling
ELSE
eq_isMigrated=2
eq_nobargain
estimates
estimations
Experiencing Housing Stress
general
Generalized Linear Mixed Models
GREG Estimator
HB Approach
health data simulation
housing
Housing Stress
Ith Small Area
Language_English
level
linear
Microsimulation Model
mixed
models
PA=Available
Percentage Estimates
Price_€50 to €100
Private Renter Households
PS=Active
Public Renter
Renter Households
Reweighting Techniques
SLA Level
SLAs
Small Area Estimates
Small Area Levels
Small Area Statistics
softlaunch
spatial
Spatial Microdata
Spatial Microsimulation
Spatial Microsimulation Modeling
statistical data fusion
stress
Unit Level Model
urban planning analysis

Product details

  • ISBN 9781482260724
  • Weight: 904g
  • Dimensions: 156 x 234mm
  • Publication Date: 01 Dec 2016
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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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.

Associate Professor Azizur Rahman, PhD, is a statistician and data scientist with expertise in both developing and applying novel methodologies, models and technologies. He is the Leader of “Statistics and Data Mining Research Group” at the Charles Sturt University (CSU), and able to assist in understanding multi-disciplinary research issues within various fields including how to understand the individual activities which occur within very complex scientific, behavioural, socio-economic and ecological systems. His research encompasses issues in simple to multi-facet analyses in various fields ranging from the statistical sciences to the law and legal studies. He has more than 100 scholarly publications including a few books. Prof. 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) and Sustaining Regions. He obtained several awards including the SOCM Research Excellence Award 2018 and the CSU-RED Achievement Award 2019.

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.

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