Has World Poverty Really Fallen?
AbstractWe evaluate the claim that world consumption poverty has fallen since 1990 in light of alternative assumptions about the extent of initial poverty and the rate of subsequent poverty reduction in China, India, and the rest of the developing world. We use two poverty indicators: the aggregate headcount and the headcount ratio, and consider two widely-used international poverty lines ($1/day and $2/day). We conclude that, because of uncertainties in relation to the extent and trend of poverty in China, India, and the rest of the developing world, global poverty may or may not have increased. The extent of the estimated increase or decrease in world poverty is critically dependent on the assumptions made. Our conclusions highlight the importance of improving the quality of global poverty statistics. Copyright � 2007 The Authors; Journal compilation � International Association for Research in Income and Wealth 2007.
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Bibliographic InfoArticle provided by International Association for Research in Income and Wealth in its journal Review of Income and Wealth.
Volume (Year): 53 (2007)
Issue (Month): 3 (09)
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Web page: http://www.blackwellpublishing.com/journal.asp?ref=0034-6586
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- Sanjay G. Reddy & Camelia Minoiu, 2006.
"Chinese Poverty: Assessing the Impact of Alternative Assumptions,"
25, International Policy Centre for Inclusive Growth.
- Camelia Minoiu & Sanjay G. Reddy, 2008. "Chinese Poverty: Assessing The Impact Of Alternative Assumptions," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(4), pages 572-596, December.
- Sanjay G. Reddy & Camelia Minoiu, 2005. "Chinese Poverty: Assessing the Impact of Alternative Assumptions," Microeconomics 0509002, EconWPA.
- Subramanian, S., 2012. "Variable Populations and the Measurement of Poverty and Inequality: A Selective Overview," Working Paper Series UNU-WIDER Research Paper , World Institute for Development Economic Research (UNU-WIDER).
- Camelia Minoiu & Sanjay Reddy, 2008. "Kernel Density Estimation Based on Grouped Data: The Case of Poverty Assessment," IMF Working Papers 08/183, International Monetary Fund.
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