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A Unified Approach to Measuring Poverty and Inequality: Theory and Practice is an introduction to the theory and practice of measuring poverty and inequality, as well as a user's guide for analyzing income or consumption distribution for any standard household dataset using the World Bank's ADePT software. The approach taken here considers income standards as building blocks for basic measurement, then uses them to construct inequality and poverty measures. This unified approach provides advantages in interpreting and contrasting the measures and in understanding the way measures vary over time and space.Several recent initiatives have lowered the cost of accessing household datasets. The ADePT software enables users to analyze microdata from household surveys and other sources and generate print-ready, standardized tables and charts. It can also be used to simulate the impact of economic shocks, cash transfers and other policy instruments on poverty, and inequality. The software automates analysis, helps minimize human errors, and encourages development of new economic analysis methods. Of interest to teachers and students as well as to policy practitioners, A Unified Approach to Measuring Poverty and Inequality will empower researchers to plumb greater depths in searching for regularity in larger and larger datasets. This book should help to enrich discussion and analysis relating to the World Bank's recent effort toward defining new targets and indicators for promoting work on eradicating poverty and enhancing shared prosperity.

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 Inequality -- Social 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 Details -- Summary -- 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 Classification

"An introduction to labor market indicator analysis and a guide for analyzing household survey data using the ADePT ILO (International Labor Organization) Labor Market Indicators Module. The analytical framework and approach taken up in this book are based on the ILO's Key Indicators of the Labor Market (KILM). KILM indicators provide a strong basis on which to address key questions related to productive employment and decent work."--Page [4] of cover