Optimal Group Size in Joint Liability Contracts
نویسندگان
چکیده
We develop a model of repeated microcredit lending to study how group size affects optimal group-lending contracts with joint liability. In the setting being studied, a benevolent lender provides microcredit to a group of borrowers to invest in projects. The outcome of each risky project is not observable by the lender; therefore, if some of the borrowers default on their loan repayments, the lender cannot identify strategic default. The group will be entitled to a subsequent loan if total loan obligation is met. We characterize the optimal contract and determine the optimal size of the borrowers’ group endogenously. We find that, although joint liability contracts are feasible under a smaller set of parameter values than individual liability contracts, joint liability has positive effects on the borrowers’ repayment amount and welfare. Our analysis also suggests that group size should increase with project risk. Furthermore, we analyze the effect of partial joint liability, less severe punishment, and project correlation on the feasibility and characteristics of joint liability contracts. Our results show that, first, although partial joint liability has a negative effect on the borrowers’ repayment amount and welfare, it can increase the loan ceiling of joint liability when collusion is not as likely, or when borrowers have high discount factors. Second, less severe punishment does not affect the borrowers’ repayment amount or welfare, but decreases the loan ceiling of joint liability.
منابع مشابه
The optimal group size in microcredit contracts
We analyze a model of a repeated microcredit lending and study how group size affects the optimal group lending contracts with joint liability. The story is that one benevolent lender gives microcredit to a group of n borrowers to be invested on n projects. The outcome of each risky project is not observable by the lender. Therefore in case some of the borrowers default on their loan repayments...
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ورودعنوان ژورنال:
- Decision Analysis
دوره 14 شماره
صفحات -
تاریخ انتشار 2017