Front Cover -- Title Page -- Copyright -- Contents -- Foreword -- Preface -- Chapter 1 Introduction -- The Income Variable -- The Data -- Income Standards and Size -- Inequality Measures and Spread -- Poverty Measures and the Base of the Distribution -- Note -- References -- Chapter 2 Income Standards, Inequality, and Poverty -- Basic Concepts -- Income Standards -- Inequality Measures -- Poverty Measures -- Exercises -- Notes -- References -- Chapter 3 How to Interpret ADePT Results -- Analysis at the National Level and Rural/Urban Decomposition -- Analysis at the Subnational Level -- Poverty Analysis across Other Population Subgroups -- Sensitivity Analyses -- Dominance Analyses -- Advanced Analysis -- Note -- Reference -- Chapter 4 Frontiers of Poverty Measurement -- Ultra-Poverty -- Hybrid Poverty Lines -- Categorical and Ordinal Variables -- Chronic Poverty -- Multidimensional Poverty -- Multidimensional Standards -- Inequality of Opportunity -- Polarization -- References -- Chapter 5 Getting Started with ADePT -- Conventions Used in This Chapter -- Installing ADePT -- Launching ADePT -- Overview of the Analysis Procedure -- Specify Datasets -- Map Variables -- Select Tables and Graphs -- Generate the Report -- Examine the Output -- Working with Variables -- Setting Parameters -- Working with Projects -- Adding Standard Errors or Frequencies to Outputs -- Applying If-Conditions to Outputs -- Generating Custom Tables -- Appendix -- Income Standards and Inequality -- Censored Income Standards and Poverty Measures -- Elasticity of Watts Index, SST Index, and CHUC Index to Per Capita Consumption Expenditure -- Sensitivity of Watts Index, SST Index, and CHUC Index to Poverty Line -- Decomposition of the Gini Coefficient -- Decomposition of Generalized Entropy Measures -- Dynamic Decomposition of Inequality Using the Second Theil Measure.

Decomposition of Generalized Entropy Measure by Income Source -- Quantile Function -- Generalized Lorenz Curve -- General Mean Curve -- Generalized Lorenz Growth Curve -- General Mean Growth Curve -- References -- Index -- Figures -- Tables -- Back Cover.

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.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2018. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.