Microsimulation Modelling for Policy Analysis Challenges and Innovations (Department of Applied Economics Occasional Papers)

Cover of: Microsimulation Modelling for Policy Analysis |

Published by Cambridge University Press .

Written in English

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Subjects:

  • Econometrics,
  • Economic theory & philosophy,
  • Microeconomics,
  • Welfare & benefit systems,
  • Public Policy - Economic Policy,
  • Business/Economics,
  • Business & Economics,
  • Politics / Current Events,
  • Policy sciences,
  • General,
  • Business & Economics / Economic Development,
  • Policy sciences--Mathematical models--Congresses,
  • Development - Economic Development,
  • Congresses,
  • Mathematical models

Edition Notes

Book details

ContributionsLavinia Mitton (Editor), Holly Sutherland (Editor), Melvyn Weeks (Editor)
The Physical Object
FormatHardcover
Number of Pages354
ID Numbers
Open LibraryOL7754033M
ISBN 100521790069
ISBN 109780521790062

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Book Description. Brings together examples of microsimulation modelling that are at the frontiers of developments in the field, either because they extend the range of techniques available to modellers, or because they demonstrate new applications for established methods.

Represents the state of the art with chapters on the use Format: Hardcover. 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 existed for over 50 years and has been applied to many different policy areas and is a methodology that is applied within both government and by: Microsimulation Modelling for Policy Analysis Modern policy problems require analysts to capture the interactions between policy and the complexities of economic and social life, as well as between policies of different types.

Increasingly, microsimulation is employed to analyse these problems. First Sentence Microsimulation models use micro-data on persons (or households, or firms or other micro-units) and simulate the effects of changes in policy (or other changes) on each of these units.

Mitton, Lavinia and Sutherland, Holly and Weeks, Melvyn, eds. () Microsimulation Modelling for Policy Analysis: Challenges and Innovations.

Cambridge University Press, Cambridge, pp. ISBN (The full text of this publication is not currently available from this by: 1 Introduction. Lavinia Mitton, Holly Sutherland and Melvyn Weeks. Microsimulation models use micro-data on persons (or households, or Wrms or other micro-units) and simulate the eVect of changes in policy (or other changes) on each of these by: German microsimulation models include the Wohngeldmodell, first developed inwhich has been used extensively to analyze housing allowance schemes; the Frankfurt model, which was developed over the s primarily for academic research use but also provided an analysis of alternative public pension policies; the BAFPLAN model, first developed inwhich has.

Microsimulation models are technical modelling tools for simulating the effects of policy on a sample of economics agents (individual, household, firms) at the individual level (Bourguignon.

Microsimulation methods are increasingly used to study the effects of policies on the income distribution contributing both to policy debates and academic literature. In general terms, microsimulation refers to modelling changes in the state or behaviour of micro-level units. and policy analysis Microsimulation as a component of broader academic studies Summary and future directions References CHARTER 17 FARM LEVEL MODELS James W.

Richardson, Thia Hennessy and Cathal O'Donoghue Introduction Policy context Applications Hypothetical analyses File Size: KB. New Directions for Microsimulation: 2. The unit of analysis in microsimulation models for personal income taxes; fiscal unit or household. Decoster and G. Van Camp; 3.

Assessing the direct and indirect effects of social policy: integrating the input-output and tax microsimulation models at Statistics Canada G. Cameron and R. Ezzedin; 4. He develops "alternative methods in microsimulation modelling technologies" which are very useful tools to socioeconomic policy analysis and evaluation.

His book has contributed significantly to the field of small area estimation and microsimulation modelling. Handbook of microsimulation modelling. [Cathal O'Donoghue] -- 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.

In book: Spatial Microsimulation for Rural Policy Analysis it provides a framework for further policy analysis.

The model can be used to run ‘what-if’ scenarios to predict the health. Microsimulation modeling is increasingly recognized as part of the policy evaluation literature, in which it is one of the key ingredients of a careful, evidence-based evaluation of the design of tax-benefit by: 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). Microsimulation and policy analysis 01/12/ 2 Microsimulation model is a set of rules operating on a Sutherland, Mitton and Weeks (Eds.) Microsimulation Modelling for Policy Analysis: Challenges and Innovations, Cambridge University.

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. Microsimulation models are one important type of policy analysis tool. With data from individual records, a microsimulation model simulates how the records change over time and as a result of a proposed policy.

Read Handbook of Microsimulation Modelling: (Contributions to Economic Analysis) PDF Free. 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).Format: Hardcover. INTERNATIONAL JOURNAL OF MICROSIMULATION () 6(2) 4 LI, O’DONOGHUE A survey of dynamic microsimulation models: uses, model structure and methodology 1.

INTRODUCTION A dynamic microsimulation model is a model that simulates the behaviour of micro-units over time. Orcutt et al. () described the first dynamic microsimulation model following theCited by: Microsimulation models combine expert opinion with observational and experimental results, providing a relatively inexpensive way to estimate population-level effects (including costs and benefits) of interventions, policy changes, or shifts in risk factors.

Reviewed by Cathal O'Donoghue Microsimulation Unit, Department of Applied Economics, University of Cambridge, CB3 9DE. Microsimulation and Public Policy is a volume of selected papers from the International Association for Research into Income and Wealth's special conference on microsimulation, held in Canberra in Like Conte et al.(), this book is a good representation of the state of.

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.

The Role of Microsimulation as a Policy Analysis Tool In this part of our report we turn from a broad investigation of the role of information in the policy process to examine with both a narrower and a deeper focus the role of microsimulation modeling as a tool for analysis of social welfare policy issues.

Introduction. Microsimulation can be distinguished from other types of computer modeling in looking at the interaction of individual units such as people or vehicles. Each unit is treated as an autonomous entity and the interaction of the units is allowed vary depending on stochastic (randomized) parameters.

More about this item Book Chapters The following chapters of this book are listed in IDEAS. Cathal O’Donoghue, "Introduction," Contributions to Economic Analysis, in: Cathal O’Donoghue (ed.), Handbook of Microsimulation Modelling, volumepagesEmerald Publishing Ltd.

Irina Burlacu & Cathal O’Donoghue & Denisa Maria Sologon, Creedy, J. and G. Kalb () ‘Behavioural microsimulation modelling with the Melbourne Institute Tax and Transfer Simulator (MITTS): Uses and extensions’.

In Quantitative Tools for Microeconomic Policy Analysis, pp. – Canberra: AGPS. Creedy, J. () ‘Survey reweighting for tax microsimulation modelling’. Policy Analysis Through Microsimulation: The STATS Model* by Bernard Wixon, Benjamin Bridges, Jr., and David Pattison This article gives a nontechnical introduction to a microsimulation model developed by the Social Security Ad- ministration to consider the effects of tax and benefit pro- posals on the economic status of population groups.

ThisCited by: 4. Dynamic Microsimulation for Public Policy Analysis Dissertation to obtain the degree of Doctor at Maastricht University, on the authority of the Rector Magnificus, Prof.

G.P.M.F. Mols, in accordance with the decision of the Board of Deans, to be defended in public on Thursday, 22nd Decemberat hours By Jinjing Li.

We developed "hello, world" models in several frameworks and assessed them on computation speed, ease of use, and other criteria. This led us to develop a new framework in Python: a discrete-time Markov model called Cost-Effectiveness Analysis with Microsimulation (CEAM). These are the slides from a presentation today at the European conference of the IMA, held in Maastricht, 23rd to 24th October, Microsimulation, as its name suggests, is about modelling things at the individual-level.

In practice, this usually means estimating the characteristics of people using statistical or econometric techniques. Microsimulation, as represented by the. 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 Cited by: 4.

Intensive hands-on course for building and using econometric and microsimulation models for tax revenue forecasting. Taxes are the main source of revenue for the government in most countries.

They also produce considerable distortions in the decision of economics agents and create major allocative and distributional impacts. “Incorporating State Analysis into The Tax Policy Center’s Microsimulation Model: Documentation and Methodology”.

[ix] TRIM3 is maintained and developed by the Urban Institute, under primary funding from the Department of Health and Human Services, Office of the Assistant Secretary for Planning and Evaluation (HHS/ASPE). 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.

Microsimulation models are computer models that operate at the level of the individual behavioural entity, such as a person, family, or firm.

Such models simulate large representative populations of these low-level entities in order to draw conclusions that apply to higher levels of aggregation such as an entire country. The POpulation HEalth Model (POHEM) is a health microsimulation model that was developed at Statistics Canada in the early s.

POHEM draws together rich multivariate data from a wide range of sources to simulate the lifecycle of the Canadian population, specifically focusing on aspects of by: For policy analysis, results from such a model are often interpreted as showing the reaction of the economy in some future period to one or a few external shocks or policy changes.

That is, the results show the difference (usually reported in percent change form) between two alternative future states (with and without the policy shock). RAND researchers developed the COMPARE microsimulation model as a way of projecting how households and firms would respond to health care policy changes based on economic theory and existing evidence from smaller-scale changes (e.g., changes in Medicaid eligibility).The value of microsimulation as a policy analysis tool Microsimulation models have played a prominent role in the production of estimates for proposed changes to social welfare and tax programs for over 20 years.3 The use of microsimulation techniques for tax policy analy- sis has its origins in work at the Brookings Institution.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.

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