Family Networks and Microcredit Access in Kenya

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dc.contributor.authorKinyanjui, George Kariuki
dc.contributor.authorMdoe, Idi Jackson
dc.date.accessioned2022-05-23T08:23:44Z
dc.date.available2022-05-23T08:23:44Z
dc.date.issued2017-12
dc.descriptionA Research Article in the Journal of African Political Economy and Developmenten_US
dc.description.abstractFor a long time now, social networks have been hailed for lowering otherwise high information and search cost to agents as well as making a principal’s market dominance increasingly ample. We therefore use the data from the 2016 FinAccess Household Survey for Kenya to unravel the effects of family networks in increasing the probabilities of members accessing microcredit. Broadly, we seek to verify whether family networks impact loan uptake by members of households and how this effect differ across gender. Employing the limited dependent variable modelling in our analysis, we find that family networks are vital in reducing search and information costs. Active networks increase the probability of accessing credit compared to non-active networks. This effect is more pronounced among women thus been in tandem with literature on determinants of credit access by women.en_US
dc.identifier.citationKinyanjui, G. K., & Jackson, M. I. (2017). Family networks and microcredit access in Kenya. Journal of African Political Economy and Development, 2(1), 125-144.en_US
dc.identifier.issn2518-847X
dc.identifier.urihttp://ir-library.ku.ac.ke/handle/123456789/23767
dc.language.isoenen_US
dc.publisherJournal of African Political Economy and Developmenten_US
dc.subjectSocial Networksen_US
dc.subjectCredit Access.en_US
dc.titleFamily Networks and Microcredit Access in Kenyaen_US
dc.typeArticleen_US
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