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Microfinance and Household Poverty Reduction: New evidence from India

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  • Katsushi Imai
  • Thankom Arun
  • Samuel Kobina Annim

Abstract

The objective of the present study is to examine whether household access to microfinance reduces poverty. Using national household data from India, treatment effects model is employed to estimate the poverty-reducing effects of MFIs loans for productive purposes, such as investment in agriculture or non-farm businesses on household poverty levels. These models take into account the endogenous binary treatment effects and sample selection bias associated with access to MFIs. Despite some limitations, such as those arising from potential unobservable important determinants of access to MFIs, significant positive effect of MFI productive loans on multidimensional welfare indicator has been confirmed. The significance of treatment "effects" coefficients have been verified by both Tobit and Propensity Score Matching models. In addition, we found that loans for productive purposes were more important for poverty reduction in rural than in urban areas. However in urban areas, simple access to MFIs has larger average poverty-reducing effects than the access to loans from MFIs for productive purposes. This leads to exploring service delivery opportunities that provide an additional avenue to monitor the usage of loans to enhance the outreach.

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Bibliographic Info

Paper provided by Economics, The University of Manchester in its series The School of Economics Discussion Paper Series with number 1008.

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Date of creation: 2010
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Handle: RePEc:man:sespap:1008

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  1. Menno Pradhan & Martin Ravallion, 2000. "Measuring Poverty Using Qualitative Perceptions Of Consumption Adequacy," The Review of Economics and Statistics, MIT Press, vol. 82(3), pages 462-471, August.
  2. Cull, Robert & Demirguc-Kunt, Asli & Morduch, Jonathan, 2008. "Microfinance meets the market," Policy Research Working Paper Series 4630, The World Bank.
  3. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
  4. Basu, Priya & Srivastava, Pradeep, 2005. "Scaling-up microfinance for India's rural poor," Policy Research Working Paper Series 3646, The World Bank.
  5. Shahidur R. Khandker, 2005. "Microfinance and Poverty: Evidence Using Panel Data from Bangladesh," World Bank Economic Review, World Bank Group, vol. 19(2), pages 263-286.
  6. Angus Deaton & Valerie Kozel, 2005. "Data and Dogma: The Great Indian Poverty Debate," World Bank Research Observer, World Bank Group, vol. 20(2), pages 177-199.
  7. Adams, Alayne M. & Evans, Timothy G. & Mohammed, Rafi & Farnsworth, Jennifer, 1997. "Socioeconomic stratification by wealth ranking: Is it valid?," World Development, Elsevier, vol. 25(7), pages 1165-1172, July.
  8. John Weiss & Heather Montgomery, 2005. "Great Expectations: Microfinance and Poverty Reduction in Asia and Latin America," Oxford Development Studies, Taylor & Francis Journals, vol. 33(3-4), pages 391-416.
  9. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
  10. P. Mosley, 2001. "Microfinance and Poverty in Bolivia," Journal of Development Studies, Taylor & Francis Journals, vol. 37(4), pages 101-132.
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Cited by:
  1. Katsushi Imai & Raghav Gaiha & Ganesh Thapa & Samuel Kobina Annim, 2010. "Microfinance and Poverty A Macro Perspective," The School of Economics Discussion Paper Series 1020, Economics, The University of Manchester.
  2. Angioloni, Simone & Kudabaev, Zarylbek & Ames, Glenn C.W. & Wetzstein, Michael E., 2013. "Microcredit impact in Kyrgyzstan: A Case Study," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 143838, Southern Agricultural Economics Association.
  3. David Hulme & Thankom Arun, 2011. "What’s wrong and right with microfinance – missing an angle on responsible finance?," Brooks World Poverty Institute Working Paper Series 15511, BWPI, The University of Manchester.
  4. You, Jing, 2013. "The role of microcredit in older children’s nutrition: Quasi-experimental evidence from rural China," Food Policy, Elsevier, vol. 43(C), pages 167-179.
  5. Verrest, Hebe, 2013. "Rethinking Microentrepreneurship and Business Development Programs: Vulnerability and Ambition in Low-income Urban Caribbean Households," World Development, Elsevier, vol. 47(C), pages 58-70.
  6. Jing You & Samuel Annim, 2013. "The impact of microcredit on child education: quasi-experimental evidence from rural China," Brooks World Poverty Institute Working Paper Series 18313, BWPI, The University of Manchester.

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