The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Robust Multidimensional Poverty Comparisons
Open accessAbstract
We demonstrate how to make poverty comparisons using multidimensional indicators of well-being, showing in particular how to check whether the comparisons are robust to aggregation procedures and to the choice of multidimensional poverty lines. In contrast to earlier work, our methodology applies equally well to what can be defined as union, intersection or intermediate approaches to dealing with multidimensional indicators of well-being. When one of two indicators is discrete, our methods specialize to those that have previously been developed to deal with household composition heterogeneity. To make these procedures of some practical usefulness, the paper derives the sampling distribution of various multidimensional poverty estimators, including estimators of the critical poverty frontiers outside which multidimensional poverty comparisons can no longer be deemed ethically robust. The results are illustrated using data from a number of developing countries.
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Cites
Church, J. A. (2001) · Journal of Government Information · doi:10.1016/s1352-0237(01)00307-0 · Cited by 9,153
A Class of Decomposable Poverty Measures
Foster, J., Greer, J., & Thorbecke, E. (1984) · Econometrica · doi:10.2307/1913475 · Cited by 5,447
Sugden, R., & Sen, A. (1986) · The Economic Journal · doi:10.2307/2232999 · Cited by 4,031
Usher, D., & Sen, A. (1987) · The Canadian Journal of Economics · doi:10.2307/135247 · Cited by 3,731
Adaptive Control Processes: A Guided Tour
Bellman, R. E. (1961) · doi:10.1515/9781400874668 · Cited by 2,802
Adaptive Control Processes: A Guided Tour.
Page, E. S., & Bellman, R. (1962) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2343225 · Cited by 2,185
The Measurement of Multidimensional Poverty
Bourguignon, F., & Chakravarty, S. R. (2003) · The Journal of Economic Inequality · doi:10.1023/a:1023913831342 · Cited by 1,271
Atkinson, A. B. (1987) · Econometrica · doi:10.2307/1911028 · Cited by 1,118
Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality
Davidson, R., & Duclos, J.-Y. (2000) · Econometrica · doi:10.1111/1468-0262.00167 · Cited by 870
Self-citationMultidimensional Deprivation: Contrasting Social Welfare and Counting Approaches
Atkinson, A. B. (2003) · The Journal of Economic Inequality · doi:10.1023/a:1023903525276 · Cited by 792
Cited by
Counting and multidimensional poverty measurement
Alkire, S., & Foster, J. (2011) · Journal of Public Economics · doi:10.1016/j.jpubeco.2010.11.006 · Cited by 684
A contextual-bandit approach to personalized news article recommendation
Li, L., Chu, W., Langford, J., & Schapire, R. E. (2010) · Proceedings of the 19th international conference on World wide web · doi:10.1145/1772690.1772758 · Cited by 2,562
Alkire, S., & Santos, M. E. (2014) · World Development · doi:10.1016/j.worlddev.2014.01.026 · Cited by 916
Weights in Multidimensional Indices of Wellbeing: An Overview
Decancq, K., & Lugo, M. A. (2013) · Econometric Reviews · doi:10.1080/07474938.2012.690641 · Cited by 850
Metadata
- Authors
- Duclos, J., Sahn, D. E., & Younger, S. D.
- Venue
- The Economic Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-10-01
- Volume
- 116
- Issue
- 514
- Pages
- 943-968
- ISSN
- 0013-0133 (ISSN-L)
- 1468-0297
- OpenAlex
- W2117139323
- Cited by
- 466
- References
- 33
- FWCI
- 84.15
- Type
- journal article
- Language
- en
- Open access
- green
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