Measuring poverty in a growing world (or measuring growth in a poor world)
The extent to which growth reduces global poverty has been disputed for 30 years. Although there is better data than ever before, controversies are not resolved. A major problem is that consumption measured from household surveys, which is used to measure poverty, grows less rapidly than consumption measured in national accounts, in the world as a whole, and in large countries, particularly India, China, and the US. In consequence, measured poverty has fallen less rapidly than appears warranted by measured growth in poor countries. One plausible cause is that richer households are less likely to participate in surveys. But growth in the national accounts is also upwardly biased, and consumption in the national accounts contains large and rapidly growing items that are not consumed by the poor and not included in surveys. So it is possible for consumption of the poor to grow less rapidly than national consumption, without any increase in measured inequality. Current statistical procedures in poor countries understate the rate of global poverty reduction, and overstate growth in the world.
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- Deininger, Klaus & Squire, Lyn, 1996.
"A New Data Set Measuring Income Inequality,"
World Bank Economic Review,
World Bank Group, vol. 10(3), pages 565-591, September.
- Klaus Deininger & Lyn Squire, 1996. "A New Data Set Measuring Income Inequality," CEMA Working Papers 512, China Economics and Management Academy, Central University of Finance and Economics.
- Ravallion, Martin, 2001. "Growth, Inequality and Poverty: Looking Beyond Averages," World Development, Elsevier, vol. 29(11), pages 1803-1815, November.
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- Angus Deaton and Jean Drèze & Jean Drèze, 2002. "Poverty and Inequality in India: A Reexamination," Working papers 107, Centre for Development Economics, Delhi School of Economics.
- Martin Ravallion, 2003. "Measuring Aggregate Welfare in Developing Countries: How Well Do National Accounts and Surveys Agree?," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 645-652, August.
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- Deininger, Klaus & Squire, Lyn, 1996. "A New Data Set Measuring Income Inequality," World Bank Economic Review, World Bank Group, vol. 10(3), pages 565-591, September.
- Hongyi Li & Lyn Squire & Tao Zhang & Heng-fu Zou, 1999. "A Data Set on Income Distribution," CEMA Working Papers 575, China Economics and Management Academy, Central University of Finance and Economics.
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- Wu, Harry X, 2000. "China's GDP Level and Growth Performance: Alternative Estimates and the Implications," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 46(4), pages 475-499, December.
- Lance Taylor & Edmar L. Bacha, 1976. "The Unequalizing Spiral: A First Growth Model for Belindia," The Quarterly Journal of Economics, Oxford University Press, vol. 90(2), pages 197-218.
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- Fishlow, Albert, 1972. "Brazilian Size Distribution of Income," American Economic Review, American Economic Association, vol. 62(2), pages 391-402, May.
- Xavier Sala-i-Martin, 2001. "The disturbing 'rise' of global income inequality," Economics Working Papers 616, Department of Economics and Business, Universitat Pompeu Fabra, revised Apr 2002.
- Xavier Sala-i-Martin, 2002. "The Disturbing "Rise" of Global Income Inequality," NBER Working Papers 8904, National Bureau of Economic Research, Inc.
- Mistiaen, Johan A. & Ravallion, Martin, 2003. "Survey compliance and the distribution of income," Policy Research Working Paper Series 2956, The World Bank.
- Cline, William R., 1975. "Distribution and development : A survey of literature," Journal of Development Economics, Elsevier, vol. 1(4), pages 359-400, November. Full references (including those not matched with items on IDEAS)
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