GROUP LENDING WITH HETEROGENEOUS TYPES
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2017 Western Economic Association International This paper proposes and implements a mixture structure to model repayment behavior in group lending with unobserved group heterogeneity. We discuss the model properties and identification and estimate the model using a rich dataset from a group lending program in India. The estimation results support the existence of two different group types: responsible and irresponsible groups. We find that the effects of the factors driving repayment behavior differ across types. The model also shows a higher predictive performance than standard probabilistic models, particularly in the identification of potential defaulters. We provide evidence supporting the robustness of our estimations. (JEL O16, C35).
author list (cited authors)
Gan, L. i., Hernandez, M. A., & Liu, Y.