Berg, Claudia and Emran, M. Shahe (2017): Microfinance and Vulnerability to Seasonal Famine in a Rural Economy: Evidence from Monga in Bangladesh.
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Abstract
This paper takes advantage of a unique data set on 143,000 poor households from northern Bangladesh to analyze the effects of microfinance membership on a household’s ability to cope with seasonal famine known as Monga. We develop an instrumental variables strategy that exploits a jump and a kink at the 10 decimal (0.1 acre) land ownership threshold driven by MFI screening process to ensure repayment by excluding the ultra-poor. Evidence from the local 2SLS estimator (Dong, 2017) shows that microfinance membership improves food security during the hungry season, especially for the poorest households who struggle to survive at the margin of 1 and 2 meals a day. Microfinance membership also reduces the probability of short-term migration for work during Monga, but is ineffective in reducing the incidence of advance sale of labor at low wages. These conclusions are also supported by estimates from minimum-biased IPW estimator of Millimet and Tchernis (2013) that reduces bias without imposing exclusion restrictions.
Item Type: | MPRA Paper |
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Original Title: | Microfinance and Vulnerability to Seasonal Famine in a Rural Economy: Evidence from Monga in Bangladesh |
Language: | English |
Keywords: | Microfinance, Ultra-Poor, Aggregate Anticipated Shock, Seasonal Famine, Monga, Coping Mechanisms, Food Security, Distress Sale of Labor, Short-term Migration, Local 2SLS. |
Subjects: | I - Health, Education, and Welfare > I3 - Welfare, Well-Being, and Poverty O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development |
Item ID: | 79972 |
Depositing User: | Claudia Berg |
Date Deposited: | 01 Jul 2017 06:02 |
Last Modified: | 10 Oct 2019 13:31 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/79972 |
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Microfinance and Vulnerability to Seasonal Famine in a Rural Economy: Evidence from Monga in Bangladesh. (deposited 21 Jun 2017 04:40)
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