Does Microfinance Reduce Poverty in Bangladesh? New Evidence from Household Panel Data
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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- Jeffrey Smith & Petra Todd, 2003.
"Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?,"
University of Western Ontario, CIBC Centre for Human Capital and Productivity Working Papers
20035, University of Western Ontario, CIBC Centre for Human Capital and Productivity.
- 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.
- Khandker, Shahidur R., 2003.
"Microfinance and poverty - evidence using panel data from Bangladesh,"
Policy Research Working Paper Series
2945, The World Bank.
- 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.
- 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.
- Heckman, James, 2013.
"Sample selection bias as a specification error,"
Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
- 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.
- 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.
- 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.
- 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.
- Dehejia, R.H. & Wahba, S., 1998. "Propensity Score Matching Methods for Non-Experimental Causal Studies," Discussion Papers 1998_02, Columbia University, Department of Economics.
- Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity score matching methods for non-experimental causal studies," Discussion Papers 0102-14, Columbia University, Department of Economics.
- Imai, Katsushi S. & Arun, Thankom & Annim, Samuel Kobina, 2010.
"Microfinance and Household Poverty Reduction: New Evidence from India,"
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.
- 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.
- 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..
- Dehejia, Rajeev, 2005. "Practical propensity score matching: a reply to Smith and Todd," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 355-364.
- 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.
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