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.
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.
The measures developed in the section are: • Pearson's correlation (r), a formula to quantify the linear correlation between the observed and final counts in each of the categories for every zone. • Total absolute error (TAE), ...
This guide to small area estimation aims to help users compile more reliable granular or disaggregated data in cost-effective ways.
Throughout the second half of the last century, the farm-level simulation approach 'slipped out of fashion' as agricultural policy modellers tended to favour macro models, either partial equilibrium models of the agriculture sector or ...
The technique used to do this is usually referred to as “snowball sampling” (Goodman 1961). Snowball sampling identifies social networks by asking initial respondents about people they might know who have specific characteristics of ...
Applications and methods of state of the art microsimulation modelling.
King, R., Brooks, S. P., and Coulson, T. (2008), “Analyzing complex capture-recapture data in the presence of ... Leibold, M.A., Holyoak, M., Mouquet, N., Amarasekare, P., Chase, J. M., Hoopes, M. F., Holt, R. D., Shurin, J. B., Law, ...
... small area estimation problems and method- ological developments . Discussion Paper , 2008 . [ 22 ] A. Rahman . Small area estimation through spatial microsimulation mod- els : Some methodological issues . In 2nd General Conference of ...
... estimation. Remote Sens. Environ. 155, 325–333. doi: 10.1016/j.rse.2014.08.036 Rahman, A., and Harding, A. (2017). Small Area Estimation and Microsimulation Modeling. Boca Raton, FL: CRC Press. doi: 10.1201/9781315372143 Rao, J. N. K. ...
Development of achievement motivation. ... An international comparison of upper secondary mathematics education. ... F., Middleton, J.A., Pantziara, M., Zhang, Q.: Attitudes, beliefs, motivation and identity in mathematics education: an ...