Multidimensional Poverty: Measurement, Estimation, and Inference
AbstractMultidimensional 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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Bibliographic InfoArticle provided by Taylor and Francis Journals in its journal Econometric Reviews.
Volume (Year): 32 (2013)
Issue (Month): 1 (January)
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Web page: http://taylorandfrancis.metapress.com/link.asp?target=journal&id=107830
Other versions of this item:
- Christopher J. Bennett and Shabana Mitra, 2011. "Multidimensional Poverty: Measurement, Estimation, and Inference," OPHI Working Papers ophiwp047, Queen Elizabeth House, University of Oxford.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Esfandiar Maasoumi & Maria Ana Lugo, 2008.
"The Information Basis of Multivariate Poverty Assessments,"
0804, Department of Economics, Emory University (Atlanta).
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2011-18, The George Washington University, Institute for International Economic Policy.
- Sabina Alkire & James Foster, 2011. "Understandings and misunderstandings of multidimensional poverty measurement," Journal of Economic Inequality, Springer, vol. 9(2), pages 289-314, June.
- Sabina Alkire and James Foster, 2011. "Understandings and Misunderstandings of Multidimensional Poverty Measurement," OPHI Working Papers ophiwp043, Queen Elizabeth House, University of Oxford.
- Sabina Alkire, 2011. "Multidimensional Poverty and its Discontents," OPHI Working Papers ophiwp046, Queen Elizabeth House, University of Oxford.
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