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Who Gets What? Determinants Of Loan Size And Credit Rationing Among Microcredit Borrowers: Evidence From Nicaragua

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  • David R. Mason

Abstract

Joint liability microcredit lending employs members' trust and social networks to screen and monitor members. Lenders may use this information along with a formal application to determine the size and terms of the loan they disburse. Yet it is unclear what factors influence loan size. This paper examines two questions related to credit consumption: the size of loans disbursed and whether the borrower was credit rationed, using a sample of clients from Nicaragua. Findings suggest that borrower assets, gender and length of time with the lending institution influence the size of loans received. Recent evidence has also suggested that credit rationing may be related to loan officer discrimination, although evidence for this and other factors here is not clear. Copyright © 2013 John Wiley & Sons, Ltd.

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  • David R. Mason, 2014. "Who Gets What? Determinants Of Loan Size And Credit Rationing Among Microcredit Borrowers: Evidence From Nicaragua," Journal of International Development, John Wiley & Sons, Ltd., vol. 26(1), pages 77-90, January.
    • Handle: RePEc:wly:jintdv:v:26:y:2014:i:1:p:77-90
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    Cited by:

    1. Marup Hossain & Conner Mullally, 2022. "Using evaluation data to predict loan performance among poor borrowers: The case of BRAC’s asset transfer and microcredit programmes," Development Policy Review, Overseas Development Institute, vol. 40(3), May.
    2. Simion Matsvai, 2024. "Determinants of Microfinance Demand (Evidence from Chiredzi Smallholder Resettled Sugarcane Farmers in Zimbabwe)," Sustainability, MDPI, vol. 16(22), pages 1-21, November.
    3. Leite, Rodrigo & Mendes, Layla & Camelo, Emmanuel, 2024. "Innovating microcredit: how fintechs change the field," Journal of Economics and Business, Elsevier, vol. 128(C).
    4. Blanco-Oliver, A.J. & Irimia-Diéguez, A.I. & Vázquez-Cueto, M.J., 2023. "Is there an optimal microcredit size to maximize the social and financial efficiencies of microfinance institutions?," Research in International Business and Finance, Elsevier, vol. 65(C).
    5. Gao Yu & Hu Xiang, 2021. "Rural E-commerce development and farmers’ digital credit behavior: Evidence from China family panel studies," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-21, October.

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