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Measuring the effectiveness of social protection : concepts and applications / Ruslan Yemtsov [and 4 others].

By: Material type: TextTextSeries: Steamlined analysis with ADePT softwarePublication details: Washington World Bank Pub, 2018Description: xxii, 240 pages ; 24 cmISBN:
  • 9781464810909
Subject(s): DDC classification:
  • 353.50285 YEM.M
Summary: Contents Cover; Half Title; Title; Copyright; Contents; Foreword; Acknowledgments; About the Authors; Abbreviations; Chapter 1 Introduction; Measuring How Social Protection Works: Focusing on Core Indicators; Measuring Social Protection Results; Finding Examples of Analysis, Data, and Indicators and Determining When ADePT SP Is Useful; What ADePT SP Cannot Do; Overview and Structure of the Manual; Notes; References; Chapter 2 Concepts, Definitions, and Indicators for Social Protection Analysis; Social Protection Definitions; Economic Welfare, Poverty, and Inequality Indicators. Social Protection Programs' Effect on Poverty and InequalitySocial Protection System Diagnostics Using Performance Indicators: Illustrations with Data from Romania; Annex 2A: Social Protection Benefit Categories and Subcategories Definitions; Notes; References; Chapter 3 Data Requirements for Social Protection Analysis; Understanding Social Protection Data Sources; Household Survey Data Quality Effects on SP Analysis; Using Social Protection Administrative Data to Address Survey Data Limitations; What Social Protection Information Is Typically Found in Household Surveys? Working with Data and Variable DetailsSummary; Notes; References; Chapter 4 How to Use ADePT SP; What Is ADePT SP?; What Information Is Needed to Use ADePT SP?; What Indicators Does ADePT SP Generate?; Getting Started: Installing and Running Adept SP; Steps to Use ADePT SP; Common Mistakes and How to Avoid Them; Summary; Notes; References; Chapter 5 How to Interpret ADePT SP Results; Initial Tables; Performance Tables; Average Transfer Value, per Capita; Profile Tables; Figures; Advanced Topics in Using ADePT SP; Notes; References; APPENDIXES. Appendix A: ASPIRE Administrative Data ClassificationAppendix B: Formulas; Notation; Poverty Measures; Inequality Measures; SP Performance Indices; Note; Appendix C: Assessing Whether Social Assistance Programs Could Have Work Disincentives; Index; A; B; C; D; E; F; G; H; I; L; M; N; O; P; R; S; T; U; V; W; Z; Boxes; 2.1: Poverty Measure Definitions and Interpretation; 3.1: Household Survey Sampling; 3.2: Data Quality Checklist; 4.1: Ways to Measure Social Protection Coverage from Household Surveys; 5.1: Comparing Survey and Administrative Data Is Not Always Simple or Straightforward; Figures. 2.1: Social Protection Programs and Benefits Classification by Legal Status, Contributory Nature, and Benefit ModalityB2.1.1: Poverty Measures; 2.2: Lorenz Curve Example; 2.3: Simulated Effect of SP Transfers on Poverty Measures; 2.4: Lorenz Curves for Pretransfer and Posttransfer Incomes and Concentration Curves for Transfers; 2.5: Program Impact on Inequality Measures, Simulating Absence of the Program; 2.6: Distributional Characteristic Index and Its Decomposition, ε =​ 1.0; 2.7: Units of Social Welfare Impact; 2.8: Example from Romania: Average Transfer Value per Capita, LCU.
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Contents
Cover; Half Title; Title; Copyright; Contents; Foreword; Acknowledgments; About the Authors; Abbreviations; Chapter 1 Introduction; Measuring How Social Protection Works: Focusing on Core Indicators; Measuring Social Protection Results; Finding Examples of Analysis, Data, and Indicators and Determining When ADePT SP Is Useful; What ADePT SP Cannot Do; Overview and Structure of the Manual; Notes; References; Chapter 2 Concepts, Definitions, and Indicators for Social Protection Analysis; Social Protection Definitions; Economic Welfare, Poverty, and Inequality Indicators.
Social Protection Programs' Effect on Poverty and InequalitySocial Protection System Diagnostics Using Performance Indicators: Illustrations with Data from Romania; Annex 2A: Social Protection Benefit Categories and Subcategories Definitions; Notes; References; Chapter 3 Data Requirements for Social Protection Analysis; Understanding Social Protection Data Sources; Household Survey Data Quality Effects on SP Analysis; Using Social Protection Administrative Data to Address Survey Data Limitations; What Social Protection Information Is Typically Found in Household Surveys?
Working with Data and Variable DetailsSummary; Notes; References; Chapter 4 How to Use ADePT SP; What Is ADePT SP?; What Information Is Needed to Use ADePT SP?; What Indicators Does ADePT SP Generate?; Getting Started: Installing and Running Adept SP; Steps to Use ADePT SP; Common Mistakes and How to Avoid Them; Summary; Notes; References; Chapter 5 How to Interpret ADePT SP Results; Initial Tables; Performance Tables; Average Transfer Value, per Capita; Profile Tables; Figures; Advanced Topics in Using ADePT SP; Notes; References; APPENDIXES.
Appendix A: ASPIRE Administrative Data ClassificationAppendix B: Formulas; Notation; Poverty Measures; Inequality Measures; SP Performance Indices; Note; Appendix C: Assessing Whether Social Assistance Programs Could Have Work Disincentives; Index; A; B; C; D; E; F; G; H; I; L; M; N; O; P; R; S; T; U; V; W; Z; Boxes; 2.1: Poverty Measure Definitions and Interpretation; 3.1: Household Survey Sampling; 3.2: Data Quality Checklist; 4.1: Ways to Measure Social Protection Coverage from Household Surveys; 5.1: Comparing Survey and Administrative Data Is Not Always Simple or Straightforward; Figures.
2.1: Social Protection Programs and Benefits Classification by Legal Status, Contributory Nature, and Benefit ModalityB2.1.1: Poverty Measures; 2.2: Lorenz Curve Example; 2.3: Simulated Effect of SP Transfers on Poverty Measures; 2.4: Lorenz Curves for Pretransfer and Posttransfer Incomes and Concentration Curves for Transfers; 2.5: Program Impact on Inequality Measures, Simulating Absence of the Program; 2.6: Distributional Characteristic Index and Its Decomposition, ε =​ 1.0; 2.7: Units of Social Welfare Impact; 2.8: Example from Romania: Average Transfer Value per Capita, LCU.

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