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Multidimensional Poverty: Measurement, Estimation, and Inference

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  • Christopher J. Bennett
  • Shabana Mitra

Abstract

Multidimensional poverty measures give rise to a host of statistical hypotheses that are of interest to applied economists and policy-makers alike. In the specific context of the generalized Alkire--Foster (Alkire and Foster, 2008) class of measures, we show that many of these hypotheses can be treated in a unified manner and also tested simultaneously using a minimum p -value approach. When applied to study the relative state of poverty among Hindus and Muslims in India, these tests reveal novel insights into the plight of the poor which are not otherwise captured by traditional univariate approaches.

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File URL: http://hdl.handle.net/10.1080/07474938.2012.690331
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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Econometric Reviews.

Volume (Year): 32 (2013)
Issue (Month): 1 (January)
Pages: 57-83

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Handle: RePEc:taf:emetrv:v:32:y:2013:i:1:p:57-83

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  1. Bhattacharya, Debopam, 2007. "Inference on inequality from household survey data," Journal of Econometrics, Elsevier, vol. 137(2), pages 674-707, April.
  2. Maasoumi, Esfandiar & Lugo, Maria, 2006. "The Information Basis of Multivariate Poverty Assessments," Departmental Working Papers 0603, Southern Methodist University, Department of Economics.
  3. Yélé Batana, 2013. "Multidimensional Measurement of Poverty Among Women in Sub-Saharan Africa," Social Indicators Research, Springer, vol. 112(2), pages 337-362, June.
  4. Garry F. Barrett & Stephen G. Donald, 2003. "Consistent Tests for Stochastic Dominance," Econometrica, Econometric Society, vol. 71(1), pages 71-104, January.
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Cited by:
  1. Sabina Alkire, 2011. "Multidimensional Poverty and its Discontents," OPHI Working Papers ophiwp046, Queen Elizabeth House, University of Oxford.
  2. Sabina Alkire and James Foster, 2011. "Understandings and Misunderstandings of Multidimensional Poverty Measurement," OPHI Working Papers ophiwp043, Queen Elizabeth House, University of Oxford.
  3. Robano, Virginia & Smith, Stephen C., 2013. "Multidimensional Targeting and Evaluation: A General Framework with an Application to a Poverty Program in Bangladesh," IZA Discussion Papers 7593, Institute for the Study of Labor (IZA).

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