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Does Microfinance Reduce Poverty in Bangladesh? New Evidence from Household Panel Data

  • Katsushi Imai
  • Md. Shafiul Azam

The study examines whether loans from microfinance institutions (MFI) reduce poverty in Bangladesh drawing upon the nationally representative household panel with four rounds from 1997 to 2004. The effects of general microfinance loans and loans for productive purposes on income, food consumption and women's Body Mass Index are estimated. Overall effects of MFI loans on income and food consumption were positive and the purpose of the loan is important in predicting which household welfare indicator is improved. Alternative estimation methods confirm a positive impact of MFI loans on food consumption growth, which supports the poverty reducing effects of microfinance in Bangladesh.

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Paper provided by Economics, The University of Manchester in its series The School of Economics Discussion Paper Series with number 1019.

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Date of creation: 2010
Date of revision:
Handle: RePEc:man:sespap:1019
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  1. Imai, Katsushi S. & Arun, Thankom & Annim, Samuel Kobina, 2010. "Microfinance and Household Poverty Reduction: New Evidence from India," World Development, Elsevier, vol. 38(12), pages 1760-1774, December.
  2. David Roodman & Jonathan Morduch, 2009. "The Impact of Microcredit on the Poor in Bangladesh: Revisiting the Evidence," Working Papers 174, Center for Global Development.
  3. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
  4. Christian Ahlin & RobertM. Townsend, 2007. "Using Repayment Data to Test Across Models of Joint Liability Lending," Economic Journal, Royal Economic Society, vol. 117(517), pages F11-F51, 02.
  5. Rajeev H. Dehejia & Sadek Wahba, 1998. "Propensity Score Matching Methods for Non-experimental Causal Studies," NBER Working Papers 6829, National Bureau of Economic Research, Inc.
  6. Besley, T. & Coate, S., 1991. "Group Lending, Repayment Incentives And Social Collateral," Papers 152, Princeton, Woodrow Wilson School - Development Studies.
  7. 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.
  8. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
  9. Dehejia, Rajeev, 2005. "Practical propensity score matching: a reply to Smith and Todd," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 355-364.
  10. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
  11. Jonathan Morduch, 1998. "Does Microfinance Really Help the Poor? New Evidence from Flagship Programs in Bangladesh," Working Papers 198, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
  12. Mark M. Pitt & Shahidur R. Khandker, 1998. "The Impact of Group-Based Credit Programs on Poor Households in Bangladesh: Does the Gender of Participants Matter?," Journal of Political Economy, University of Chicago Press, vol. 106(5), pages 958-996, October.
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