Does Microfinance Reduce Poverty in Bangladesh? New Evidence from Household Panel Data
The purpose of the present study is to examine whether microfinance reduces poverty in Bangladesh drawing upon the nationally representative household panel data covering 4 rounds from 1997 to 2005. A special attention was drawn to the issue of endogeneity by applying treatment effects model and propensity score matching (PSM) for the participants and non-participants of microfinance programmes. It has been found by treatment effects model applied to panel data that the simple household access to general loans from microfinance institutions (MFIs) did not increase per capita household income significantly, but household access to loans for productive purposes from MFIs significantly increased per capita household income. This suggests that the purpose and monitoring of how clients use the loans is important for increasing household income, and thus decreasing household poverty. However, the application of treatment effects model and PSM to each cross-sectional component of the panel data shows that the poverty reducing effect of MFI on poverty was significantly reduced over the years. This suggests the importance of more attention to the primary purpose of microcredit, that is, poverty reduction, and also to monitoring loan usages in the situations where the profits of MFIs became increasingly squeezed and their activities became more commercialised under severe competitions among MFIs in recent years.
|Date of creation:||Sep 2010|
|Date of revision:||Nov 2011|
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- Rajeev H. Dehejia & Sadek Wahba, 2002.
"Propensity Score-Matching Methods For Nonexperimental Causal Studies,"
The Review of Economics and Statistics,
MIT Press, vol. 84(1), pages 151-161, February.
- 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.
- Christian Ahlin & RobertM. Townsend, 2007.
"Using Repayment Data to Test Across Models of Joint Liability Lending,"
Royal Economic Society, vol. 117(517), pages F11-F51, 02.
- Christian Ahlin & Robert Townsend, 2002. "Using Repayment Data to Test Across Models of Joint Liability Lending," Vanderbilt University Department of Economics Working Papers 0227, Vanderbilt University Department of Economics.
- Heckman, James J, 1979.
"Sample Selection Bias as a Specification Error,"
Econometric Society, vol. 47(1), pages 153-61, January.
- 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.
- Jeffrey Smith & Petra Todd, 2003. "Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20035, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
- David Roodman & Jonathan Morduch, 2009.
"The Impact of Microcredit on the Poor in Bangladesh: Revisiting the Evidence,"
174, Center for Global Development.
- David Roodman & Jonathan Morduch, 2014. "The Impact of Microcredit on the Poor in Bangladesh: Revisiting the Evidence," Journal of Development Studies, Taylor & Francis Journals, vol. 50(4), pages 583-604, April.
- Roodman, David & Morduch, Jonathan, 2013. "The Impact of Microcredit on the Poor in Bangladesh: Revisiting the Evidence," CEI Working Paper Series 2013-02, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
- repec:pri:rpdevs:morduch_microfinance_poor is not listed on IDEAS
- 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.
- Besley, Timothy & Coate, Stephen, 1995.
"Group lending, repayment incentives and social collateral,"
Journal of Development Economics,
Elsevier, vol. 46(1), pages 1-18, February.
- Besley, T. & Coate, S., 1991. "Group Lending, Repayment Incentives And Social Collateral," Papers 152, Princeton, Woodrow Wilson School - Development Studies.
- 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.
- Katsushi Imai & Thankom Arun & Samuel Kobina Annim, 2010.
"Microfinance and Household Poverty Reduction: New evidence from India,"
The School of Economics Discussion Paper Series
1008, Economics, The University of Manchester.
- 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.
- Katsushi S. Imai & Samuel Kobina Annim, 2010. "Microfinance and Household Poverty Reduction: New evidence from India," Discussion Paper Series DP2010-14, Research Institute for Economics & Business Administration, Kobe University.
- 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.
- Khandker, Shahidur R., 2003. "Microfinance and poverty - evidence using panel data from Bangladesh," Policy Research Working Paper Series 2945, The World Bank.
- Dehejia, Rajeev, 2005. "Practical propensity score matching: a reply to Smith and Todd," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 355-364.
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