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Loan refusal, household income and savings in Ghana: a dominance analysis approach

机译:加纳的拒绝贷款,家庭收入和储蓄:优势分析方法

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摘要

Many loan applicants and households face the problem of loan refusal but researchers passively discuss it and do not consider discussing its intensity. This paper uses the fifth round of the Ghana Living Standards Survey data, employing the logit and Poisson regression models on loan refusal as binary and count variables respectively. The econometric analysis of 1,600 and 1,591 households for the loan refusal and intensity of loan refusal respectively shows that income and savings inversely relate to loan refusal and the intensity of loan refusal. The dominance analysis also showed that in Ghana, household savings causes loan refusal and intensity of loan refusal more than household income. We call on financial institutions to widen their coverage, in general, and more in the rural areas so as to increase the stock of loanable funds readily available to prospective applicants, with more flexibility for rural dwellers.
机译:许多贷款申请人和家庭都面临拒绝贷款的问题,但是研究人员被动地讨论了这一问题,因此不考虑讨论其强度。本文使用加纳生活水平调查的第五轮数据,分别采用针对拒绝贷款的logit和Poisson回归模型分别作为二元变量和计数变量。对1,600户和1,591户家庭的拒贷和拒贷强度的计量经济学分析分别显示,收入和储蓄与拒贷和拒贷强度成反比。优势分析还显示,在加纳,家庭储蓄比家庭收入更多地导致拒绝贷款和拒绝贷款的强度。我们呼吁金融机构总体上扩大其覆盖范围,并扩大在农村地区的覆盖范围,以增加准申请人容易获得的可贷资金库存,并为农村居民提供更大的灵活性。

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