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Light and Shade of Multidimensional Indexes

How Methodological Choices Impact on Empirical Results
  • Enrica Chiappero-Martinetti
  • Nadia von Jacobi
Chapter
Part of the Social Indicators Research Series book series (SINS, volume 48)

Abstract

The aim of this chapter is to discuss and measure the impact on results of three main methodological assumptions in the construction of multidimensional indexes of poverty and well-being – namely, the transformation function, the aggregation procedure and the weighting system chosen. The empirical analysis is based on Jordan DHS (2002, 2007) datasets and integrated by a fieldwork conducted on a sample of students and development experts for eliciting information related to the relative weights attached to several well-being domains considered (education, health, housing, employment and personal security). A robustness analysis has been conducted quantifying the relative and global impact of different combinations of these three methodological choices on poverty estimates both at national and sub-national level.

Keywords

Membership Function Composite Index Membership Degree Composite Indicator Capability Approach 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

This paper has been developed within the Research Project on Human Rights and Human Development funded by the Italian Ministry of Higher Education and Research (FIRB RBIN06ZFSE). We would like to thank Ekhlas Sweis and the students of the master in human rights of the University of Jordan (UJ) for their kind support during the fieldwork conducted at the UJ in Amman and Zina Nimeh and Zaid Eyadat for their help in selecting and contacting experts and for the support provided during the interviews. Special thanks go to Lucio Esposito for his suggestions during the preparation of the questionnaires and to Achin Chakraborty for precious comments. We are very grateful to the STAT-TEAM (Alberto Cardaci, Francesca Gatti, Toa Giroletti and Francesco Maffoni) for the precious research assistance on data analysis. Helpful comments have been received by the participants at the 2010 HDCA Conference in Amman.

Supplementary material

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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Enrica Chiappero-Martinetti
    • 1
    • 2
  • Nadia von Jacobi
    • 1
    • 2
  1. 1.Department of Political and Social SciencesUniversity of PaviaPaviaItaly
  2. 2.Institute for Advanced StudyPaviaItaly

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