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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Econometric Reviews.
Volume (Year): 32 (2013)
Issue (Month): 1 (January)
Contact details of provider:
Web page: http://www.tandfonline.com/LECR20
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.:
- Bhattacharya, Debopam, 2007. "Inference on inequality from household survey data," Journal of Econometrics, Elsevier, vol. 137(2), pages 674-707, April.
- Maasoumi, Esfandiar & Lugo, Maria, 2006.
"The Information Basis of Multivariate Poverty Assessments,"
Departmental Working Papers
0603, Southern Methodist University, Department of Economics.
- Esfandiar Maasoumi & Maria Ana Lugo, 2008. "The Information Basis of Multivariate Poverty Assessments," Emory Economics 0804, Department of Economics, Emory University (Atlanta).
- Yélé Batana, 2013. "Multidimensional Measurement of Poverty Among Women in Sub-Saharan Africa," Social Indicators Research, Springer, vol. 112(2), pages 337-362, June.
- Garry F. Barrett & Stephen G. Donald, 2003. "Consistent Tests for Stochastic Dominance," Econometrica, Econometric Society, vol. 71(1), pages 71-104, January.
- Sabina Alkire, 2011. "Multidimensional Poverty and its Discontents," OPHI Working Papers ophiwp046, Queen Elizabeth House, University of Oxford.
- 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 & James Foster, 2011. "Understandings and misunderstandings of multidimensional poverty measurement," Journal of Economic Inequality, Springer, vol. 9(2), pages 289-314, June.
- James Foster & Sabina Alkire, 2011. "Understandings and Misunderstandings of Multidimensional Poverty Measurement," Working Papers 2011-18, The George Washington University, Institute for International Economic Policy.
- 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).
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().
If references are entirely missing, you can add them using this form.