Spatial Distribution of Welfare Across States and Different Socio-Economic Groups in Rural and Urban India
AbstractIn this paper we examine the incidence of poverty and inequality across different States and socio-economic groups in order to get a spatial picture of welfare distribution in India. Our welfare indicator is the money-metric measure of utility represented by the equivalent expenditure incorporating substitution effects due to price changes. The indicator was derived by estimating separate demand systems for rural and urban using NSS 55 data. This in turn allowed us to compute different poverty and inequality measures based on these equivalent expenditures and carry out our comparative analysis. We calculated these measures for the major States of India, for different religious groups, according to household type (the type of activity) and according to some social criteria like the level of education of the household head and the type of family structure, separately for both the urban and rural sectors. Results are analysed in detail bringing out interesting features, comparisons and interpretations accompanied by plausible explanations. Further it is also shown that ignoring substitution effects and simply using deflated expenditures may not only alter the estimates of poverty and inequality but also the relative performances across regions and groups.
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Bibliographic InfoPaper provided by Département des Sciences Économiques, Université de Genève in its series Research Papers by the Department of Economics, University of Geneva with number 2004.14.
Length: 66 pages
Date of creation: May 2004
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Demand system estimation; household surveys; poverty; inequality; India.;
Find related papers by JEL classification:
- C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
- D1 - Microeconomics - - Household Behavior
- D6 - Microeconomics - - Welfare Economics
- O53 - Economic Development, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
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- Zheng, Buhong, 1997. " Aggregate Poverty Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 11(2), pages 123-62, June.
- Lewbel, Arthur, 1990. "Full Rank Demand Systems," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 31(2), pages 289-300, May.
- Bishop, John A & Formby, John P & Zheng, Buhong, 1997. "Statistical Inference and the Sen Index of Poverty," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 38(2), pages 381-87, May.
- Kakwani, Nanak, 1993. "Statistical Inference in the Measurement of Poverty," The Review of Economics and Statistics, MIT Press, vol. 75(4), pages 632-39, November.
- Lewbel, Arthur, 1987. "Characterizing Some Gorman Engel Curves," Econometrica, Econometric Society, vol. 55(6), pages 1451-59, November.
- Foster, James E & Shorrocks, Anthony F, 1991. "Subgroup Consistent Poverty Indices," Econometrica, Econometric Society, vol. 59(3), pages 687-709, May.
- Atkinson, A B, 1987. "On the Measurement of Poverty," Econometrica, Econometric Society, vol. 55(4), pages 749-64, July.
- Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
- Bishop, John A & Chow, K Victor & Zheng, Buhong, 1995. "Statistical Inference and Decomposable Poverty Measures," Bulletin of Economic Research, Wiley Blackwell, vol. 47(4), pages 329-40, October.
- James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
- Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-26, June.
- Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-66, May.
- Blundell, Richard & Pashardes, Panos & Weber, Guglielmo, 1993. "What Do We Learn About Consumer Demand Patterns from Micro Data?," American Economic Review, American Economic Association, vol. 83(3), pages 570-97, June.
- Clark, Stephen & Hemming, Richard & Ulph, David, 1981. "On Indices for the Measurement of Poverty," Economic Journal, Royal Economic Society, vol. 91(362), pages 515-26, June.
- Sudip Ranjan Basu, 2004.
"Economic Growth, Well-Being and Governance under Economic Reforms: Evidence from Indian States,"
IHEID Working Papers
05-2004, Economics Section, The Graduate Institute of International Studies.
- Sudip Ranjan Basu, 2005. "Economic Growth, Well-Being and Governance under Economic Reforms: Evidence from Indian States," Development and Comp Systems 0509007, EconWPA.
- Sudip Ranjan Basu, 2007. "Comparing China and India: Is dividend of economic reforms polarized?," IHEID Working Papers 01-2007, Economics Section, The Graduate Institute of International Studies.
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