Targeting is a commonly used but much debated policy within global social assistance practice. This book examines the well-known dilemmas in light of the growing body of experience, new implementation capacities, and the potential to bring new data and data science to bear.

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Yes, you can access Revisiting Targeting in Social Assistance by Margaret Grosh,Phillippe Leite,Matthew Wai-Poi,Emil Tesliuc in PDF and/or ePUB format, as well as other popular books in Economics & Sustainable Development. We have over one million books available in our catalogue for you to explore.

Information

Publisher

World Bank Publications

Year

2022

eBook ISBN

9781464818158

Topic

Economics

Subtopic

Sustainable Development

Index

Economics

Cover
Half Title Page
Title Page
Copyright Page
Human Development Perspectives
Contents
Foreword
Acknowledgments
About the Editors and Contributors
Abbreviations
Overview
Chapter 1: Targeting within Universal Social Protection
Chapter 2: Unpacking the Empirics of Targeting in Low- and Middle-Income Countries
Chapter 3: Moving from General Abstraction toward Implementable Concepts in Stability and in Crisis
Chapter 4: Improving Targeting Outcomes through Attention to Delivery Systems
Chapter 5: Choosing among Targeting Methods
Chapter 6: How to Harness the Power of Data and Inference: Technical Discussion for Selected Targeting Methods
Chapter 7: Measuring the Performance of Targeting Methods
Chapter 8: Machine Learning and Prediction of Beneficiary Eligibility for Social Protection Programs
ECO-AUDIT: Environmental Benefits Statement
Back Cover

About this book

Frequently asked questions

Information

Table of contents