The author is grateful for financial support from the Foundation for Advanced Studies on International Development. The author would also like to express his gratitude to the editor and two anonymous referees of the journal; and Yasuyuki Sawada, Hidehiko Ichimura, and Amy Ickowitz for helpful and constructive suggestions. The paper also benefited from the comments of Yutaka Arimoto, Koichi Fujita, Masayoshi Honma, Hiro Ishise, Takahiro Ito, Hisaki Kono, Sarah Pearlman, Takeshi Sakurai, Chikako Yamauchi, Junfu Zhang, and participants at the Eastern Economic Association 2007, the International Atlantic Economic Conference 2007, and seminars at Clark University, Tsukuba University, and the University of Tokyo (Department of Economics and Department of Agriculture). Any errors and omissions are solely the responsibility of the author.
EVALUATION OF CONTINGENT REPAYMENTS IN MICROFINANCE: EVIDENCE FROM A NATURAL DISASTER IN BANGLADESH
Article first published online: 1 JUN 2012
DOI: 10.1111/j.1746-1049.2012.00161.x
© 2012 The Author. The Developing Economies © 2012 Institute of Developing Economies
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How to Cite
SHOJI, M. (2012), EVALUATION OF CONTINGENT REPAYMENTS IN MICROFINANCE: EVIDENCE FROM A NATURAL DISASTER IN BANGLADESH. The Developing Economies, 50: 116–140. doi: 10.1111/j.1746-1049.2012.00161.x
Publication History
- Issue published online: 1 JUN 2012
- Article first published online: 1 JUN 2012
- First version received January 2011; final version accepted January 2012
- Abstract
- Article
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- Cited By
Keywords:
- Microfinance;
- Credit constraint;
- Natural disasters;
- Propensity score matching with multiple treatments;
- South Asia;
- Bangladesh
- O16;
- G21
Frequent and strictly scheduled repayments and savings in microfinance often deteriorate the liquidity of members in the face of negative shocks. Previous articles suggest the introduction of a contingent repayment system that allows such members to be rescheduled, but the unavailability of a suitable dataset makes it difficult to examine how it would actually work. This study is one of the first to evaluate the impact of this repayment system on household livelihood. In employing a unique dataset from Bangladesh, I show that rescheduling reduces the possibility of binding credit constraints and borrowing from moneylenders, and may also reduce transitory poverty. However, short-term rescheduling has insignificant effects. Indebted members with less liquid assets are more likely to be rescheduled.

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