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Handbook on Poverty + Inequality

Authors:
Jonathan Haughton and Shahidur R. Khandker
Publisher: World Bank
Copyright: 2009
ISBN-13: 978-0-8213-7613-3
Pages: 444; paperback
Price: $34.50

Comment from the Stata technical group

In Handbook on Poverty + Inequality, Jonathan Haughton and Shahidur Khandker provide introductions to problems of defining, measuring, and analyzing poverty and inequality. While this book is more focused on the subjects of poverty and inequality than on data-analytic methods, several chapters describe important aspects of how to interpret results from different types of data analysis. The authors also provide quick introductions to basic data analysis, regression modeling, and using complex survey data, in addition to providing an appendix that succinctly introduces Stata in regard to the methods discussed.

This book will be useful for students and researchers who need an introduction to the literature on poverty and inequality and who need a quick primer on data analysis. Researchers and students analyzing data will want an additional book on statistics or econometrics, such as Data Analysis Using Stata, Second Edition by Ulrich Kohler and Frauke Kreuter or Introductory Econometrics: A Modern Approach, Fourth Edition by Jeffrey M. Wooldridge.


Table of contents

Preface
Foreword
About the Authors
Abbreviations
1. What Is Poverty and Why Measure It?
Summary
Learning Objectives
Introduction: The Concepts of Well-Being and Poverty
Why Measure Poverty?
Thinking Systematically: Poverty Reduction Strategy Papers
Notes
References
2. Measuring Poverty
Summary
Learning Objectives
Introduction: Steps in Measuring Poverty
Household Surveys
Measuring Poverty: Choosing an Indicator of Welfare
Notes
References
3. Poverty Lines
Summary
Learning Objectives
Introduction: Defining a Poverty Line
Issues in Choosing an Absolute Poverty Line
Solution A: Objective Poverty Lines
Solution B: Subjective Poverty Lines
Notes
References
4. Measures of Poverty
Summary
Learning Objectives
Introduction
Headcount Index
Poverty Gap Index
Squared Poverty Gap (Poverty Severity) Index
Sen Index
The Sen–Shorrocks–Thon Index
The Watts Index
Time Taken to Exit
Other Measures
References
5. Poverty Indexes: Checking for Robustness
Summary
Learning Objectives
Introduction
Sampling Error
Measurement Error
Equivalence Scales
Choice of Poverty Line and Poverty Measure
A Single Measure of Standard of Living
Note
References
6. Inequality Measures
Summary
Learning Objectives
Introduction: Definition of Inequality
Commonly Used Summary Measures of Inequality
Inequality Comparisons
Measuring Pro-Poor Growth
Decomposition of Income Inequality
Income Distribution Dynamics
Note
References
7. Describing Poverty: Poverty Profiles
Summary
Learning Objectives
Introduction: What Is a Country Poverty Profile?
Additive Poverty Measures
Profile Presentation
Poverty Comparisons over Time
Excerpts from Poverty Profiles for Indonesia and Cambodia
Poverty Mapping
Automating Poverty Profiles: The ADePT 2.0 Program
Note
References
8. Understanding the Determinants of Poverty
Summary
Learning Objectives
Introduction: What Causes Poverty?
Household and Individual-Level Characteristics
Analyzing the Determinants of Poverty: Regression Techniques
Note
References
9. Poverty Reduction Policies
Summary
Learning Objectives
Introduction
Is Growth Good for the Poor?
Pro-Poor Growth
An Example: Tanzania
Note
References
10. International Poverty Comparisons
Summary
Learning Objectives
Introduction
Overview of Poverty Analysis
International Poverty Comparisons
Survey Data and National Accounts
Debate 1: Is World Poverty Falling?
Debate 2: Is World Poverty Really Falling?
Conclusion
Notes
References
11. The Analysis of Poverty over Time
Summary
Learning Objectives
Introduction: Sources of Information on Poverty over Time
Advantages of Panel Surveys
Drawbacks of Panel Surveys
Other Issues in Panel and Repeated Cross-Sectional Data
Chronic versus Transient Poverty
Case Study: The Asian Financial Crisis and Poverty in Indonesia
Poverty Transition Matrix, December 1998–August 1999
Notes
References
12. Vulnerability to Poverty
Summary
Learning Objectives
Introduction: Why Measure Vulnerability?
Vulnerability to Poverty Defined
Quantifying Vulnerability to Poverty
Sources of Vulnerability
Lessons from Studies of Vulnerability to Poverty
Notes
References
13. Poverty Monitoring and Evaluation
Summary
Learning Objectives
Introduction
Poverty Monitoring
Impact Evaluation: Micro Projects
Impact Evaluation: Macro Projects
Notes
References
14. Using Regression
Summary
Learning Objectives
Introduction
The Vocabulary of Regression Analysis
Examining a Regression Example
Problems in Regression Analysis
Solving Estimation Problems
Logistic Regression
Note
References
15. The Effects of Taxation and Spending on Inequality and Poverty
Summary
Learning Objectives
Introduction
Presenting Incidence Results
Tax Incidence
Benefit Incidence
Issues in Benefit Incidence Analysis
Conclusion
Annex A. Case Study: Health Spending in Ghana
Notes
References
16. Using Survey Data: Some Cautionary Tales
Summary
Learning Objectives
Introduction: Interpreting Survey Data
Caution 1. Do the Sampling Right
Caution 2. Use a Consistent Recall Method
Caution 3. Use a Consistent Recall Period
Caution 4. Remember That Price Indexes Matter (a lot)
Caution 5. Use Consistent Questions
Caution 6. Adjust for Nonresponse Bias (if possible)
Caution 7. Define Expenditure Consistently
Caution 8. Value Own-Farm Income Properly
Caution 9. Distinguish between Values That Are Zero and Those That Are Missing
Caution 10. Use Expenditure per Capita, Not Expenditure per Household
Caution 11. Use Weights When They Are Needed
Note
References
Appendix 1   Data Introduction
Appendix 2   Stata Preliminary
Appendix 3   Exercises
Answers to the Review Questions
Index
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