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E-raamat: Practical Microsimulation Modelling

(National University of Ireland, Galway)
  • Formaat: 336 pages
  • Sari: Practical Econometrics
  • Ilmumisaeg: 23-Sep-2021
  • Kirjastus: Oxford University Press
  • Keel: eng
  • ISBN-13: 9780192594334
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Practical Microsimulation ModellingSuurem pilt
  • Formaat: 336 pages
  • Sari: Practical Econometrics
  • Ilmumisaeg: 23-Sep-2021
  • Kirjastus: Oxford University Press
  • Keel: eng
  • ISBN-13: 9780192594334
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The purpose of this book is to bring together, for the first time, 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.

The book aims to provide a greater degree of codified knowledge by providing a practical guide to developing and using microsimulation models. At present, the training of researchers and analysts that use and develop microsimulation modelling is done on a relatively ad hoc basis through occasional
training programmes and lecture series, built around lecture notes. Practical Microsimulation Modelling enables a more formalised and organised approach. Each chapter addresses a separate modelling approach in a similar consistent way, describing in a practical way the key methodological skills for
each approach.
List of Figures
xvii
List of Tables
xix
PART I INTRODUCTION
1 Introduction
3(22)
1.1 Introduction
3(9)
1.2 Types of Microsimulation Models
12(11)
1.3 Overview
23(2)
2 Xlsim: Developing A Software Tool to Assist Training and Learning In Microsimulation Modelling
25(38)
2.1 Introduction
25(1)
2.2 Theoretical Objectives
26(5)
2.3 Software Evaluation For A Microsimulation Development
31(9)
2.4 Methodology: The Computing Framework Of Xlsim
40(5)
2.5 Summary
45(1)
2.6 Appendix
46(17)
PART II STATIC MODELS
3 Anti-Poverty Policy
63(25)
3.1 Introduction
63(1)
3.2 Policy Design: The Design of social Transfer
64(7)
3.3 Data Issues: Creating the Base Dataset
71(3)
3.4 Validation: Hypothetical Families
74(2)
3.5 Measurement Issues: Poverty Efficiency
76(9)
3.6 Simulation: Introducing An Anti-Poverty Instrument
85(3)
4 Redistribution and Income-Tax Reform
88(27)
4.1 Introduction
88(1)
4.2 Policy Context: Structure of Income-Tax Systems
89(6)
4.3 Data Issues: Net to Gross Imputation
95(3)
4.4 Validation: External Data
98(2)
4.5 Measurement Issues: The Distributional Impact of Taxation Analyses
100(6)
4.6 Simulation: Modelling Taxes and Contributions
106(9)
PART III BEHAVIOURAL MODELS
5 Labour-Supply Behaviour
115(35)
5.1 Introduction
115(6)
5.2 Policy Context: In-Work Benefits
121(1)
5.3 Data Issues: Preparation of Data For Labour-Supply-Choice Modelling
122(9)
5.4 Validation: Derivation of Unobserved Residuals for Simulation
131(2)
5.5 Measurement Issues: Replacement Rates
133(7)
5.6 Simulation: Modellingthe Behavioural Impact of Increasing an In-Work Cash Transfer
140(10)
6 Indirect Taxation and Consumption Behaviour
150(23)
6.1 Introduction
150(2)
6.2 Policy Context: Indirect Taxation
152(1)
6.3 Data Issues: Linking Income and Expenditure Surveys
153(4)
6.4 Measurement Issues: Modelling A Behavioural Response
157(8)
6.5 Simulation: Income and Indirect Taxation
165(8)
7 Environmental Taxation
173(18)
7.1 Introduction
173(2)
7.2 Policy Context: Environmental Taxation
175(2)
7.3 Data Issues: Modelling Pollution
177(1)
7.4 Measurement Issues: Direct and Indirect Impacts of Environmental Taxation
178(3)
7.5 Simulation: Welfare Impact of A Carbon Taxation
181(10)
PART IV DYNAMIC AND SPATIAL MODELS
8 Decomposing Changes in Inequality Over Time
191(22)
8.1 Introduction
191(2)
8.2 Policy Context: Decomposition Of Inequality
193(1)
8.3 Data Issues: Income-Generation Model
194(11)
8.4 Measurement Issues: Shapley-Value Decomposition
205(1)
8.5 Simulation: Oaxaca-Blinder-Bourguignon Decomposition
206(4)
8.6 Validation Issues
210(3)
9 Pension Reform and Life-Course Distributions
213(26)
9.1 Introduction
213(1)
9.2 Policy Context: Pensions and Ageing
214(2)
9.3 Data and Modelling Issues
216(9)
9.4 Validation: Alignment
225(3)
9.5 Measurement Issues: Inter-Temporal Redistribution
228(2)
9.6 Simulation: Distribution Of Income Over The Life Course
230(9)
10 Spatial Inequality
239(28)
10.1 Introduction
239(2)
10.2 Policy Context: Spatial Inequality And Poverty
241(2)
10.3 Data Issues: Matching Spatial Data and Micro-Data
243(8)
10.4 Validation: Conditional Independence and Spatial Calibration
251(9)
10.5 Measurement Issues: Spatial Inequality
260(1)
10.6 Simulation: Modelling The Spatial Distribution of Income in Ireland
261(6)
References 267(30)
Index 297
Cathal O'Donoghue is the Dean of Arts and Social Sciences at NUI Galway and Professor of Public and Social Policy. He was formerly Head of Teagasc's (Ireland's Agriculture and Food Development Authority) Rural Economy and Development Programme. He was CEO of the Irish Government's Commission for the Economic Development of Rural Areas 2012-2014, Chairman of the Irish Sport Horse Strategy Committee 2013-2015, was President of the International Microsimulation Association 2011-2015 and is on the Executive of the UK Agricultural Economics Society. He has been an advisor to many international organisations and was a long term advisor to the UK Government's Department of Work and Pensions on policy modelling earlier in his career. He has held positions at the ESRI, UK Government Economics Service, the University of Cambridge, and NUI Galway.
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