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Poverty in India during the1990s - a regional perspective

Author

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  • Yoko Kijima
  • Lanjouw, Peter

Abstract

The authors provide estimates of poverty at the regional level in India, spanning the 1990s. Such estimates have not been previously available due to concerns regarding non-comparability of the 1993-94 and 1999-2000 National Sample Survey Organization (NSSO) household survey data. They implement an adjustment procedure to restore comparability based on a methodology developed by Elbers and others (2003). The results indicate a less rapid decline of poverty, at the all-India level than has been suggested by Deaton and Dre (2002), based on a related adjustment methodology. The authors attempt to uncover the source of disagreement across these procedures, by probing a number of their underlying assumptions.

Suggested Citation

  • Yoko Kijima & Lanjouw, Peter, 2003. "Poverty in India during the1990s - a regional perspective," Policy Research Working Paper Series 3141, The World Bank.
    • Handle: RePEc:wbk:wbrwps:3141
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    References listed on IDEAS

    as
    1. repec:pri:rpdevs:deaton_tarozzi_prices_poverty is not listed on IDEAS
    2. Gaurav Datt & Valerie Kozel & Martin Ravallion, 2003. "A Model-Based Assessment of India's Progress in Reducing Poverty in the 1990s," Monash Economics Working Papers archive-32, Monash University, Department of Economics.
    3. Angus Deaton, 2003. "Adjusted Indian Poverty Estimates for 1999-2000," Working Papers 200, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    4. 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.
    5. Elbers, Chris & Lanjouw, Jean O. & Lanjouw, Peter, 2002. "Micro-level estimation of welfare," Policy Research Working Paper Series 2911, The World Bank.
    6. repec:pri:rpdevs:deaton_tarozzi_prices_poverty.pdf is not listed on IDEAS
    7. Angus Deaton, 2003. "Prices and Poverty in India, 1987-2000," Working Papers 199, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    8. Chris Elbers & Jean O. Lanjouw & Peter Lanjouw, 2003. "Micro--Level Estimation of Poverty and Inequality," Econometrica, Econometric Society, vol. 71(1), pages 355-364, January.
    9. Gaurav Datt & Martin Ravallion, 2002. "Is India's Economic Growth Leaving the Poor Behind?," Journal of Economic Perspectives, American Economic Association, vol. 16(3), pages 89-108, Summer.
    10. Stephen Howes & Jean Olson Lanjouw, 1998. "Does Sample Design Matter For Poverty Rate Comparisons?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 44(1), pages 99-109, March.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Massimiliano Calì & Carlo Menon, 2013. "Does Urbanization Affect Rural Poverty? Evidence from Indian Districts," The World Bank Economic Review, World Bank, vol. 27(2), pages 171-201.
    2. Azam, Mehtabul, 2012. "Changes in Wage Structure in Urban India, 1983–2004: A Quantile Regression Decomposition," World Development, Elsevier, vol. 40(6), pages 1135-1150.
    3. Hai-Anh H. Dang & Peter F. Lanjouw, 2018. "Poverty Dynamics in India between 2004 and 2012: Insights from Longitudinal Analysis Using Synthetic Panel Data," Economic Development and Cultural Change, University of Chicago Press, vol. 67(1), pages 131-170.
    4. Peter Lanjouw & Rinku Murgai, 2009. "Poverty decline, agricultural wages, and nonfarm employment in rural India: 1983–2004," Agricultural Economics, International Association of Agricultural Economists, vol. 40(2), pages 243-263, March.
    5. Kijima, Yoko, 2006. "Why did wage inequality increase? Evidence from urban India 1983-99," Journal of Development Economics, Elsevier, vol. 81(1), pages 97-117, October.
    6. Hai‐Anh Dang & Dean Jolliffe & Calogero Carletto, 2019. "Data Gaps, Data Incomparability, And Data Imputation: A Review Of Poverty Measurement Methods For Data‐Scarce Environments," Journal of Economic Surveys, Wiley Blackwell, vol. 33(3), pages 757-797, July.
    7. F. Clementi & A. L. Dabalen & V. Molini & F. Schettino, 2017. "When the Centre Cannot Hold: Patterns of Polarization in Nigeria," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 608-632, December.
    8. Sebastian Levine & Benjamin Roberts, 2013. "Robust Estimates of Changes in Poverty and Inequality in Post-Independence Namibia," South African Journal of Economics, Economic Society of South Africa, vol. 81(2), pages 167-191, June.
    9. Hai-Anh H. Dang & Peter F. Lanjouw, 2023. "Regression-based imputation for poverty measurement in data-scarce settings," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 13, pages 141-150, Edward Elgar Publishing.
    10. Luc Christiaensen & Peter Lanjouw & Jill Luoto & David Stifel, 2012. "Small area estimation-based prediction methods to track poverty: validation and applications," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(2), pages 267-297, June.
    11. Claudio A. Agostini & Philip H. Brown, 2010. "Inequality at Low Levels of Aggregation in Chile," Review of Development Economics, Wiley Blackwell, vol. 14(2), pages 213-226, May.
    12. Ahmed, Faizuddin & Dorji, Cheku & Takamatsu, Shinya & Yoshida, Nobuo, 2014. "Hybrid survey to improve the reliability of poverty statistics in a cost-effective manner," Policy Research Working Paper Series 6909, The World Bank.
    13. Schreiner, Mark, 2011. "Estimating Expenditure-Based Poverty from the Bangladesh Demographic and Health Survey," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 34(4), pages 65-94, December.
    14. Dang,Hai-Anh H. & Lanjouw,Peter F. & Serajuddin,Umar & Dang,Hai-Anh H. & Lanjouw,Peter F. & Serajuddin,Umar, 2014. "Updating poverty estimates at frequent intervals in the absence of consumption data : methods and illustration with reference to a middle-income country," Policy Research Working Paper Series 7043, The World Bank.
    15. Newhouse, D. & Shivakumaran, S. & Takamatsu, S. & Yoshida, N., 2014. "How survey-to-survey imputation can fail," Policy Research Working Paper Series 6961, The World Bank.
    16. Dang,Hai-Anh H. & Kilic,Talip & Carletto,Calogero & Abanokova,Kseniya, 2021. "Poverty Imputation in Contexts without Consumption Data : A Revisit with Further Refinements," Policy Research Working Paper Series 9838, The World Bank.
    17. Angus Deaton & Valerie Kozel, 2005. "Data and Dogma: The Great Indian Poverty Debate," The World Bank Research Observer, World Bank, vol. 20(2), pages 177-199.
    18. Rajesh K. Chauhan & Sanjay K. Mohanty & S V Subramanian & Jajati K Parida & Balakrushna Padhi, 2016. "Regional Estimates of Poverty and Inequality in India, 1993–2012," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(3), pages 1249-1296, July.
    19. Graw, Valerie & Husmann, Christine Ladenburger, 2012. "Mapping Marginality Hotspots – Geographical Targeting for Poverty Reduction," Working Papers 147917, University of Bonn, Center for Development Research (ZEF).

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