Theory and Case Studies
This book presents a new method for measuring multidimensional poverty. The author critically analyzes various statistical approaches, and proposes a new way of applying a factorial technique, Multiple Correspondence Analysis, to poverty analysis. The core of this new approach rests on the identification of poverty types and on the construction of a Composite Indicator of Poverty, which objectively weights the multiple categories of poverty. Built as a two-step approach, Multiple Correspondence Analysis allows for the integration of unidimensional money-metric techniques.
The author reflects on the conceptual debates and dimensions of poverty, presenting empirical studies showing the strengths and weaknesses of various poverty-measurement methodologies. The first part of the book is theoretical. In it, the author uses examples to develop the rationale underlying the new approach. The second part of the book presents two case studies: one from Vietnam and the other from Senegal. Each study uses Multiple Correspondence Analysis and both are based on large household surveys implemented by the respective national statistical offices.
The unique structure of this book makes it practical for use by poverty and policy researchers, professionals in international development, and graduate students interested in poverty and inequality.
Louis-Marie Asselin is President of the Institut de Mathématique C.F. Gauss in Lévis, Québec, Canada.
Part I. Theory
1. Introduction 2009
2. Indicators and multidimensionality analysis 2009
3. Composite indicator of poverty 2009
4. Multidimensional poverty and inequality analysis 2009
5. Conclusion 2009
Part II. Case Studies
6. Multidimensional poverty in Senegal: a non-monetary basic needs approach Jean Bosco Ki, Salimata Faye, and Bocar Faye 2009
7. Dynamic poverty analysis in Vietnam 1993-2002: multidimensional versus moneymetric analysis Louis-Marie Asselin, Vu Tuan Anh 2009
Appendix A. Poverty measurement: a conceptual framework 2009
Appendix B. Lists of indicators of some local, national and international poverty measurement initiatives 2009
Appendix C. Classification Principle and Algorithm 2009
Appendix D. Multiple Correspondence Analysis on 1993 Data: Main Results 2009
Appendix E. Poverty Analysis. Results for the Seven Regions of Vietnam 2009