Microsimulation Modelling for Policy Analysis

Microsimulation Modelling for Policy Analysis PDF

Author: Lavinia Mitton

Publisher: Cambridge University Press

Published: 2000-09-21

Total Pages: 354

ISBN-13: 9780521790062

DOWNLOAD EBOOK →

The editors bring together examples of microsimulation modeling that are at the frontiers of developments in the field, either because they extend the range of techniques available to modelers, or because they demonstrate new applications for established methods. This volume represents the state of the art with chapters on the use of microsimulation for comparative policy research and for challenging conventional assumptions, combining microsimulation with other types of economic models and the much-neglected subjects of model alignment and validation. Data and case studies are taken from regions including Asia-Pacific, Europe and North America.

Practical Microsimulation Modelling

Practical Microsimulation Modelling PDF

Author: Cathal O'Donoghue

Publisher: Oxford University Press

Published: 2021

Total Pages: 319

ISBN-13: 0198852878

DOWNLOAD EBOOK →

'Practical Microsimulation Modelling' brings together a description and examples of the main methods used in microsimulation modelling used in the field of income distribution analysis. It is structured to develop and use the different types of models used in the field, with a focus on household targeted policy.

Microeconomic Modeling and Policy Analysis

Microeconomic Modeling and Policy Analysis PDF

Author: Thomas G. Cowing

Publisher:

Published: 1984

Total Pages: 320

ISBN-13:

DOWNLOAD EBOOK →

Approaches to energy use modeling; Residential energy demand simulation models; Residential energy policy analysis: the alternative policy scenarios; Simulation results from the REEPS model; Simulation results from the ORNL model; A comparative analysis of model performance: REEPS versus ORLN.

Spatial Microsimulation with R

Spatial Microsimulation with R PDF

Author: Robin Lovelace

Publisher: CRC Press

Published: 2017-09-07

Total Pages: 260

ISBN-13: 131536316X

DOWNLOAD EBOOK →

Generate and Analyze Multi-Level Data Spatial microsimulation involves the generation, analysis, and modeling of individual-level data allocated to geographical zones. Spatial Microsimulation with R is the first practical book to illustrate this approach in a modern statistical programming language. Get Insight into Complex Behaviors The book progresses from the principles underlying population synthesis toward more complex issues such as household allocation and using the results of spatial microsimulation for agent-based modeling. This equips you with the skills needed to apply the techniques to real-world situations. The book demonstrates methods for population synthesis by combining individual and geographically aggregated datasets using the recent R packages ipfp and mipfp. This approach represents the "best of both worlds" in terms of spatial resolution and person-level detail, overcoming issues of data confidentiality and reproducibility. Implement the Methods on Your Own Data Full of reproducible examples using code and data, the book is suitable for students and applied researchers in health, economics, transport, geography, and other fields that require individual-level data allocated to small geographic zones. By explaining how to use tools for modeling phenomena that vary over space, the book enhances your knowledge of complex systems and empowers you to provide evidence-based policy guidance.

Spatial Microsimulation: A Reference Guide for Users

Spatial Microsimulation: A Reference Guide for Users PDF

Author: Robert Tanton

Publisher: Springer Science & Business Media

Published: 2012-11-13

Total Pages: 272

ISBN-13: 9400746237

DOWNLOAD EBOOK →

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.

Spatial Microsimulation for Rural Policy Analysis

Spatial Microsimulation for Rural Policy Analysis PDF

Author: Cathal O'Donoghue

Publisher: Springer Science & Business Media

Published: 2012-10-12

Total Pages: 276

ISBN-13: 3642300251

DOWNLOAD EBOOK →

The aim of this book is to explore the challenges facing rural communities and economies and to demonstrate the potential of spatial microsimulation for policy and analysis in a rural context. This is done by providing a comprehensive overview of a particular spatial microsimulation model called SMILE (Simulation Model of the Irish Local Economy). The model has been developed over a ten year period for applied policy analyis in Ireland which is seen as an ideal study area given its large percentage of population living in rural areas. The book reviews the policy context and the state of the art in spatial microsimulation against which SMILE was developed, describes in detail its model design and calibration, and presents example of outputs showing what new information the model provides using a spatial matching process. The second part of the book explores a series of rural issues or problems, including the impacts of new or changing government or EU policies, and examines the contribution that spatial microsimulation can provide in each area.

Small Area Estimation and Microsimulation Modeling

Small Area Estimation and Microsimulation Modeling PDF

Author: Azizur Rahman

Publisher: CRC Press

Published: 2016-11-30

Total Pages: 456

ISBN-13: 1315354942

DOWNLOAD EBOOK →

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.

Improving Information for Social Policy Decisions -- The Uses of Microsimulation Modeling

Improving Information for Social Policy Decisions -- The Uses of Microsimulation Modeling PDF

Author: National Research Council

Publisher: National Academies Press

Published: 1991-02-01

Total Pages: 361

ISBN-13: 030904541X

DOWNLOAD EBOOK →

This book reviews the uses and abuses of microsimulation modelsâ€"large, complex models that produce estimates of the effects on program costs and who would gain and who would lose from proposed changes in government policies ranging from health care to welfare to taxes. Volume 1 is designed to guide future investment in modeling and analysis capability on the part of government agencies that produce policy estimates. It will inform congressional and executive decision makers about the strengths and weaknesses of models and estimates and will interest social scientists in the potential of microsimulation techniques for basic and applied research as well as policy uses. The book concludes that a "second revolution" is needed to improve the quality of microsimulation and other policy analysis models and the estimates they produce, with a special emphasis on systematic validation of models and communication of validation results to decision makers.