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Economic and Social Impacts of an Innovative Self-Help Group Model in India

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  • Deininger, Klaus
  • Liu, Yanyan

Abstract

We assess the impact of an approach in the Indian state of Andhra Pradesh that combines micro-credit with efforts to target the poor, address their specific needs, and enhance their economic potential. Our results support the pro-poor nature of the program and point toward benefits in terms of female empowerment and nutritional intake but not asset formation or income for program participants and other villagers. While study of longer-term effects is desirable, this suggests that even in the short term, the program helped improve consumption smoothing and income diversification.

Suggested Citation

  • Deininger, Klaus & Liu, Yanyan, 2013. "Economic and Social Impacts of an Innovative Self-Help Group Model in India," World Development, Elsevier, vol. 43(C), pages 149-163.
  • Handle: RePEc:eee:wdevel:v:43:y:2013:i:c:p:149-163
    DOI: 10.1016/j.worlddev.2012.09.019
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    1. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
    2. Amin, Sajeda & Rai, Ashok S. & Topa, Giorgio, 2003. "Does microcredit reach the poor and vulnerable? Evidence from northern Bangladesh," Journal of Development Economics, Elsevier, vol. 70(1), pages 59-82, February.
    3. Kochar, Anjini, 2005. "Can Targeted Food Programs Improve Nutrition? An Empirical Analysis of India's Public Distribution System," Economic Development and Cultural Change, University of Chicago Press, vol. 54(1), pages 203-235, October.
    4. Matthieu Chemin, 2008. "The Benefits and Costs of Microfinance: Evidence from Bangladesh," Journal of Development Studies, Taylor & Francis Journals, vol. 44(4), pages 463-484, April.
    5. Manuela Angelucci & Giacomo De Giorgi, 2009. "Indirect Effects of an Aid Program: How Do Cash Transfers Affect Ineligibles' Consumption?," American Economic Review, American Economic Association, vol. 99(1), pages 486-508, March.
    6. Ghazala Mansuri, 2004. "Community-Based and -Driven Development: A Critical Review," The World Bank Research Observer, World Bank, vol. 19(1), pages 1-39.
    7. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
    8. Benjamin Feigenberg & Erica M. Field & Rohini Pande, 2010. "Building Social Capital Through MicroFinance," NBER Working Papers 16018, National Bureau of Economic Research, Inc.
    9. Dev, S. Mahendra & Kanbur, Ravi & Galab, Shaik & Alivelu, G., 2011. "ORGANIZATION, POVERTY AND WOMEN: Andhra Pradesh in Global Perspective," Working Papers 126590, Cornell University, Department of Applied Economics and Management.
    10. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand," NBER Technical Working Papers 0330, National Bureau of Economic Research, Inc.
    11. Coleman, Brett E., 1999. "The impact of group lending in Northeast Thailand," Journal of Development Economics, Elsevier, vol. 60(1), pages 105-141, October.
    12. Ranjula Bali Swain & Fan Yang Wallentin, 2009. "Does microfinance empower women? Evidence from self-help groups in India," International Review of Applied Economics, Taylor & Francis Journals, vol. 23(5), pages 541-556.
    13. Alberto Abadie & Guido W. Imbens, 2008. "On the Failure of the Bootstrap for Matching Estimators," Econometrica, Econometric Society, vol. 76(6), pages 1537-1557, November.
    14. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    15. Chen, Shaohua & Mu, Ren & Ravallion, Martin, 2009. "Are there lasting impacts of aid to poor areas?," Journal of Public Economics, Elsevier, vol. 93(3-4), pages 512-528, April.
    16. Joseph P. Kaboski & Robert M. Townsend, 2011. "A Structural Evaluation of a Large‐Scale Quasi‐Experimental Microfinance Initiative," Econometrica, Econometric Society, vol. 79(5), pages 1357-1406, September.
    17. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    18. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    19. Coleman, Brett E., 2006. "Microfinance in Northeast Thailand: Who benefits and how much?," World Development, Elsevier, vol. 34(9), pages 1612-1638, September.
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