Research on economic inequality. Volume 25 / edited by Sanghamitra Bandyopadhyay.

Format:

Book

Contributor:

Bandyopadhyay, Sanghamitra, 1974- editor.

Language:

English

Subjects (All):

Equality--Economic aspects.

Equality.

Poverty.

Income distribution.

Physical Description:

1 online resource (363 pages)

Edition:

First edition.

Place of Publication:

Bingley : Emerald Publishing, 2018.

Summary:

This volume contains research on how we measure poverty, inequality and welfare and how we use such measurements to devise policies to deliver social mobility. It contains ten papers, some of which were presented at the third meeting of The Theory and Empirics of Poverty, Inequality and Mobility at Queen Mary University of London, London, October 2016. The volume begins with theoretical issues at the frontier of the literature. Three papers discuss the impact of social welfare policies on poverty measurement, and with innovations on the measurement of relative bipolarisation. Two papers address the conceptualisation of multidimensional poverty by incorporating inequality within the poor, and that of chronic poverty for time dependent analyses, with applications to India and Haiti, and Ethiopia respectively. The second half of the volume consists of empirical contributions, using novel techniques and datasets to investigate the dynamics of poverty and welfare. These studies track the dynamics of poverty using unique datasets for China, the Caucasus and Italy. The volume concludes with investigations about within-household inequalities between siblings due to the unequal effects of conditional cash transfers in Cambodia and a cross-country study on the effect of historical income inequality on entrepreneurship in developing countries.

Contents:

Intro

RESEARCH ON ECONOMIC INEQUALITY: Poverty, Inequality and Welfare

CONTENTS

LIST OF CONTRIBUTORS

INTRODUCTION

An Adverse Social Welfare Consequence of a Rich-to-Poor Income Transfer: A Relative Deprivation Approach

1. Introduction

2. A Constructive Example

3. Generalizations

3.1. Non-Singularity of the Utility Specification

3.2. Lorenz Dominance, General Social Welfare Functions, and a Population of Any Size

4. Discussion

References

The Benchmark of Maximum Relative Bipolarisation

2. Preliminaries

2.2. Desirable Properties for a Relative Bipolarisation Index

3. Normalisation Properties

4. Characterisation of the Benchmarks of Extreme Relative Bipolarisation

5. Illustration: Identifying the Subclass of Normalised, Rank-Dependent Wang-TSUI Indices

6. Numerical Illustration

7. Conclusion

The Necessary Requirement of Median Independence for Relative Bipolarisation Measurement

2.2. Some Desirable Properties for a Relative Bipolarisation Index

3. Existing Relative Bipolarisation Indices and the Problem of Median Dependency

4. Numerical Illustration

5. Conclusion

Did Poverty Reduction Reach the Poorest of the Poor? Complementary Measures of Poverty and Inequality in the Counting Approach

1 INTRODUCTION

2 THE COUNTING APPROACH TO POVERTY MEASUREMENT

2.1 Identification of Deprivations and of Poverty

2.1.1 Counting Deprivations

2.1.2 Identification of Poverty

2.1.3 Counting Attainments

2.2 Aggregation

2.3 Population Subgroups

2.4 Additional Operators

2.5 Two Useful Properties

3 CAPTURING DISTRIBUTION OF DEPRIVATIONS AMONG THE POOR

4 WHICH INEQUALITY MEASURE?

4.1 Properties

4.2 Application to the Counting Approach Framework.

5 EMPIRICAL ILLUSTRATION

5.1 Change in Inequality Among the Poor Nationally

5.2 Change in Inequality Among the Poor Within Sub-national Regions

5.3 Disparity Across Population Subgroups

6 CONCLUDING REMARKS

Chronic Poverty and Poverty Dynamics: Resolving a Paradox in the Normative Basis for Intertemporal Poverty Measures

1. Introduction and Motivation

2. Chronic Poverty Measures and the Paradox

3. The Data

3.1. Wellbeing Indicator

3.2. Unit of Analysis

3.3. Sub-sample

3.4. Descriptive Statistics by Round

4. Dynamic Models

4.1. Model A: Linear Interpolation

4.2. Model B: Household-Specific Time Trends

4.3. Model C: Autoregression with Household Fixed Effect

4.4. Model D: Autoregression with PA Trend and Household Fixed Effect

4.5. Comparison and Evaluation of the Dynamic Models

5. Application to Poverty Measures

6. Concluding Remarks

Curbing One's Consumption and the Impoverishment Process: The Case of Western Asia

1. Introduction: The Asset Approach to Measuring Standards of Living

2. Economic Growth and Poverty Reduction in the Caucasus

2.2. Poverty and Income Distribution

2.3. Previous Studies of Poverty in Western Asia

6. Conclusion

3. Approaches to Measuring Standards of Living

3.2. The Order of Acquisition of Durable Goods Approach

3.3. Item Response Theory1

3.4. Correspondence Analysis2

3.4. The Count Approach

4. Orders of Curtailment of Consumption Expenditures in Armenia, Azerbaijan and Georgia

5. Links Between the Order of Curtailment, Total Consumption Expenditures and Total Household Income

Exploring Multidimensional Poverty in China: 2010 to 2014

1. Motivation and Literature Review

1.2 Literature Review

2. Methodology

2.1. Adjusted Headcount Ratio

2.2. Properties of MPI.

3. Data and Indicators

3.2. Global MPI Indicators for China

3.2.1. Education

3.2.2. Health

3.2.3. Living Standard

3.2.4. Advantages and limitations of the dataset

4. China's Global MPI

4.1 Basic Results

4.2 Composition of the MPI: Indicator Analysis

5. Disaggregated Analysis of MPI

5.1 MPI in Geographic Areas

5.2 MPI in Five Provinces

5.3 MPI by Social Groups

6. MPI and Monetary Poverty

7. Robustness of MPI to Different Weights

8. Concluding Remarks

Immigration and Poverty: The Case of Italy

1. INTRODUCTION

2. IMMIGRATION IN THE SHIW

3. THE SOCIO-ECONOMIC CONDITIONS OF IMMIGRANTS IN ITALY

4. POVERTY AND IMMIGRATION IN ITALY

5. POVERTY DECOMPOSITION

6. THE DETERMINANTS OF POVERTY AND IMMIGRATION

7. POVERTY DYNAMICS FOR IMMIGRANTS

8. CONCLUSIONS

NOTES

Own and Sibling Effects of Conditional Cash Transfer Programs: Theory and Evidence from Cambodia1

2. THE MODEL

3. PROGRAM AND DATA

4. IDENTIFICATION STRATEGY

5. RESULTS

5.2. Robustness Checks

5.2.1. Sample Restricted to Households Within 10 Ranks of Cut-off

5.2.2. School-Specific Control Function

5.2.3. Defining Control Function in Terms of Ranking, Rather than the Score

5.2.4. Sibling Effects Differentiated by Relative Age

5.2.5. Richer and Poorer Households

5.2.6. School Visits

6. DISCUSSION AND CONCLUSION

Does Inequality Foster or Hinder the Growth of Entrepreneurship in the Long Run?

2. Impact of Inequality on Entrepreneurship

2.1. Does Inequality Deter Entrepreneurial Activity?

2.2. Does Inequality Foster Entrepreneurial Activity?

3. Data and Methodology

3.2. GEM Survey

3.3. Current Institutional and Business Environment

3.4. Panel Random Effects

4. Econometric Results.

4.2. Does Historical Inequality Fosters Out of Need Entrepreneurship?

5. Robustness Checks

5.1. IVs: Determinants of Current Institutions

INDEX.

Notes:

Includes index.

Includes bibliographical references.

Print version record

ISBN:

9781787149595

1787149595

9781787145214

1787145212