Measurement of Trends in Wellbeing, Poverty, and Inequality with Case Studies from Bolivia and Colombia.

Format:

Book

Author/Creator:

Grosse, Melanie.

Series:

Goettinger Studien zur Entwicklungsoekonomik / Goettingen Studies in Development Economics.

Language:

English

Subjects (All):

Sociology.

Anthropology.

Political science--Theory.

Political science.

Economics--Theory.

Economics.

Development economics.

Physical Description:

1 online resource (244 pages)

Edition:

First edition.

Other Title:

Goettinger Studien zur Entwicklungsoekonomik / Goettingen Studies in Development Economics vol. 32

Place of Publication:

Bern Peter Lang International Academic Publishing Group 2018

Frankfurt a.M. : Peter Lang GmbH, Internationaler Verlag der Wissenschaften, 2011.

Language Note:

English.

Summary:

Reducing poverty and increasing wellbeing in developing countries have become central aims of both the national policy-makers as well as the international community. With the Millennium Development Declaration of 2000, the international community has agreed to focus on poverty reduction and the reduction of deprivation in its many dimensions. This book investigates conceptual and empirical issues on the measurement of trends in wellbeing, poverty, and inequality, illustrated for Bolivia and Colombia. The book contributes significantly to filling data gaps by combining existing data in a new way. Furthermore, it presents an important step forward to focus more on multidimensional outcomes of wellbeing rather than on monetary inputs and to develop tools to monitor the progress in achieving the Millennium Development Goals (MDGs).

Contents:

Cover

List of Tables

List of Figures

List of Abbreviations

Introduction and Overview

1 Matching Household Surveys with DHS Data to Create Nationally Representative Time Series of Poverty: An Application to Bolivia

1.1 Introduction

1.2 Approach and Data

1.3 Empirical Results

1.3.1 Estimation Properties

1.3.2 Poverty and Inequality Trends

1.3.3 Pro-Poor Growth

1.4 Sensitivity Analyses

1.4.1 Disaggregated Data on GDP

1.4.2 Regional Differentials in Sectoral Participation

1.4.3 Mobility Assumption

1.5 The Asset Index Approach

1.6 Discussion

2 Estimating the Stability of Poverty Analysis: Out-of-Sample Predictions in Dynamic Poverty Mapping

2.1 Introduction

2.2 Approach and Data

2.3 Results of Out-of-Sample Predictions

2.3.1 Regression

2.3.2 Method

2.3.3 Income

2.3.4 Evolution of Poverty and Inequality

2.4 Discussion and Outlook

2.5 Conclusion

3 Measuring Pro-Poor Growth in Non-Income Dimensions

3.1 Introduction

3.2 The Concept of Pro-Poor Growth

3.2.1 Definition of Pro-Poor Growth

3.2.2 Multidimensionality of Pro-Poor Growth

3.3 Methodology

3.3.1 The Growth Incidence Curve

3.3.2 The Non-Income Growth Incidence Curve

3.3.3 Specification of the Non-Income Indicators

3.3.4 Limitations of the Indicators

3.4 Empirical Analysis

3.4.1 Inequality

3.4.2 Pro-Poor Growth

3.5 Conclusion

4 Pro-Poor Growth in Multidimensional Poverty Indicators: An Application to Colombia

4.1 Introduction

4.2 Multidimensional Poverty Analysis: Concept and Measurement Issues

4.2.1 Foundations of Multidimensional Poverty Analysis

4.2.2 Multidimensional Poverty Dynamics: Pro-Poor Growth

4.3 Application to Colombia

4.3.1 Macroeconomic Trends and Public Policies

4.3.2 Data

4.3.3 Multidimensional Poverty Indicators.

4.3.4 Correlation with Income and Consumption

4.3.5 Limitations of the Indicators

4.4 Results

4.4.1 Trends and Inequality in Multidimensional Indicators

4.4.2 Pro-Poor Growth Analysis

4.5 Conclusion

Bibliography

Appendix A

Appendix B

Appendix C.

Notes:

CC BY

Description based on publisher supplied metadata and other sources.

ISBN:

9783631753538

3631753535

OCLC:

1163809900