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Using Repayment Data to Test Across Models of Joint Liability Lending

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  • Christian Ahlin
  • RobertM. Townsend

Abstract

Theories rationalising joint liability lending are rich in implications for repayment rates. We exploit this fact to test four diverse models. We show that the models' repayment implications do not always coincide. For example, higher correlation of output and borrowers' ability to act cooperatively can raise or lower repayment, depending on the model. Data from Thai borrowing groups suggest that repayment is affected negatively by the joint liability rate ("ceteris paribus") and social ties, and positively by the strength of local sanctions and correlated returns. Further, the relative fit of the adverse selection versus informal sanctions models varies by region. Copyright 2007 The Author(s). Journal compilation Royal Economic Society 2007.

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Bibliographic Info

Article provided by Royal Economic Society in its journal The Economic Journal.

Volume (Year): 117 (2007)
Issue (Month): 517 (02)
Pages: F11-F51

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Handle: RePEc:ecj:econjl:v:117:y:2007:i:517:p:f11-f51

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  1. Rahman, Aminur, 1999. "Micro-credit initiatives for equitable and sustainable development: Who pays?," World Development, Elsevier, vol. 27(1), pages 67-82, January.
  2. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-33, March.
  3. Sharma, Manohar & Zeller, Manfred, 1997. "Repayment performance in group-based credit programs in Bangladesh: An empirical analysis," World Development, Elsevier, vol. 25(10), pages 1731-1742, October.
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