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Estimating multidimensional poverty in Zambia

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  • Kristi Mahrt
  • Gibson Masumbu

Abstract

In this paper, we apply the first-order dominance (FOD) approach to assessing multidimensional welfare to analyse multidimensional poverty in Zambia in 1996, 2006, and 2010. In addition to evaluating welfare across time and space, we extend the methodology to evaluate welfare by rural agricultural strata and urban housing cost areas. This modification allows a more detailed perspective on the evolution of rural poverty. Finally, we consider the sensitivity of FOD results to indicator definitions in a context where data prohibited the preferred definition.

Suggested Citation

  • Kristi Mahrt & Gibson Masumbu, 2015. "Estimating multidimensional poverty in Zambia," WIDER Working Paper Series wp-2015-137, World Institute for Development Economic Research (UNU-WIDER).
    • Handle: RePEc:unu:wpaper:wp-2015-137
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    References listed on IDEAS

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    1. Nicole M. Mason & Thomas S. Jayne & Robert J. Myers, 2015. "Smallholder Supply Response to Marketing Board Activities in a Dual Channel Marketing System: The Case of Zambia," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(1), pages 36-65, February.
    2. Arndt, Channing & McKay, Andy & Tarp, Finn (ed.), 2016. "Growth and Poverty in Sub-Saharan Africa," OUP Catalogue, Oxford University Press, number 9780198744795.
    3. Kristi Mahrt & Malokele Nanivazo, 2015. "Estimating multidimensional childhood poverty in the Democratic Republic of Congo, 2007 through 2013," WIDER Working Paper Series 131, World Institute for Development Economic Research (UNU-WIDER).
    4. Nicole M. Mason & T.S. Jayne & Rhoda Mofya-Mukuka, 2013. "Zambia's input subsidy programs," Agricultural Economics, International Association of Agricultural Economists, vol. 44(6), pages 613-628, November.
    5. Arndt, Channing & Distante, Roberta & Hussain, M. Azhar & Østerdal, Lars Peter & Huong, Pham Lan & Ibraimo, Maimuna, 2012. "Ordinal Welfare Comparisons with Multiple Discrete Indicators: A First Order Dominance Approach and Application to Child Poverty," World Development, Elsevier, vol. 40(11), pages 2290-2301.
    6. Olu Ajakaiye & Afeikhena T. Jerome & Olanrewaju Olaniyan & Kristi Mahrt & Olufunke A. Alaba, 2015. "Spatial and temporal multidimensional poverty in Nigeria," WIDER Working Paper Series 132, World Institute for Development Economic Research (UNU-WIDER).
    7. Arndt, Channing & Salvucci, Vincenzo & Tarp, Finn & Østerdal, Lars Peter & Hussain, M. Azhar, 2013. "Advancing Small Area Estimation," WIDER Working Paper Series 053, World Institute for Development Economic Research (UNU-WIDER).
    8. repec:unu:wpaper:wp2012-36 is not listed on IDEAS
    9. Mason, Nicole M. & Tembo, Solomon T., "undated". "Do input subsidies reduce poverty among smallholder farm households? Evidence from Zambia," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170617, Agricultural and Applied Economics Association.
    10. Kristi Mahrt & Malokele Nanivazo, 2015. "Estimating multidimensional childhood poverty in the Democratic Republic of Congo, 2007 through 2013," WIDER Working Paper Series wp-2015-131, World Institute for Development Economic Research (UNU-WIDER).
    11. World Bank, 2014. "World Development Indicators 2014," World Bank Publications - Books, The World Bank Group, number 18237, April.
    12. Resnick, Danielle & Thurlow, James, 2014. "The political economy of Zambia’s recovery: Structural change without transformation?:," IFPRI discussion papers 1320, International Food Policy Research Institute (IFPRI).
    13. Mofya-Mukuka, Rhoda & Kabwe, Stephen & Kuteya, Auckland N. & Mason, Nicole M., 2013. "How Can the Zambian Government Improve the Targeting of the Farmer Input Support Program?," Food Security Collaborative Policy Briefs 146939, Michigan State University, Department of Agricultural, Food, and Resource Economics.
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    Cited by:

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