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Quantifying the Qualitative: Eliciting Expert Input to Develop the Multidimensional Poverty Assessment Tool

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  • Alasdair Cohen
  • Michaela Saisana

Abstract

This article discusses the participatory creation of the Multidimensional Poverty Assessment Tool (MPAT), a survey-based thematic indicator developed in China and India. The core of the article focuses on the use of expert elicitation to inform the construction of MPAT's household and village surveys, the cardinalisation of survey responses, and the weighting scheme design. This is followed by a discussion of the potential pitfalls of expertise in development, the decision not to aggregate MPAT into an index, creating locally relevant poverty lines, and ideas for future research. The article closes with a summary of lessons learned.

Suggested Citation

  • Alasdair Cohen & Michaela Saisana, 2014. "Quantifying the Qualitative: Eliciting Expert Input to Develop the Multidimensional Poverty Assessment Tool," Journal of Development Studies, Taylor & Francis Journals, vol. 50(1), pages 35-50, January.
    • Handle: RePEc:taf:jdevst:v:50:y:2014:i:1:p:35-50
    DOI: 10.1080/00220388.2013.849336
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    1. Sabina Alkire, Maria Emma Santos, 2010. "Acute Multidimensional Poverty: A New Index for Developing Countries," OPHI Working Papers 38, Queen Elizabeth House, University of Oxford.
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    Cited by:

    1. Janina Isabel Steinert & Lucie Dale Cluver & G. J. Melendez-Torres & Sebastian Vollmer, 2018. "One Size Fits All? The Validity of a Composite Poverty Index Across Urban and Rural Households in South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(1), pages 51-72, February.
    2. Zornić, Nikola & Dobrota, Marina & Jeremić, Veljko, 2016. "Measuring the Stability of University Rankings in the Field of Education," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2016), Rovinj, Croatia, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 8-9 September 2016, pages 294-301, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    3. Jayachandran, Seema & Biradavolu, Monica & Cooper, Jan, 2021. "Using Machine Learning and Qualitative Interviews to Design a Five-Question Women's Agency Index," IZA Discussion Papers 14221, Institute of Labor Economics (IZA).
    4. Jayachandran, Seema & Biradavolu, Monica & Cooper, Jan, 2023. "Using machine learning and qualitative interviews to design a five-question survey module for women’s agency," World Development, Elsevier, vol. 161(C).
    5. Julia Bock-Schappelwein, 2019. "Armutsindex," WIFO Working Papers 585, WIFO.
    6. Cohen, A., 2009. "The multidimensional poverty assessment tool: user's guide," IWMI Working Papers H043044, International Water Management Institute.

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