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The Female Superiority in Loan Repayment Hypothesis: Is it Valid in Ghana?

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  • Samuel K. Afrane
  • Michael Adusei

Abstract

The paper subjects the female superiority in loan repayment hypothesis to empirical scrutiny with data from the microfinance industry in Ghana. Using binary logistic regression, our data provide evidence that females are more likely to default on their loans than males which presupposes that males are rather better borrowers. The paper, therefore, submits that the female superiority in loan repayment hypothesis may not be valid in Ghana.

Suggested Citation

  • Samuel K. Afrane & Michael Adusei, 2014. "The Female Superiority in Loan Repayment Hypothesis: Is it Valid in Ghana?," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 4(2), pages 1-6.
    • Handle: RePEc:spt:admaec:v:4:y:2014:i:2:f:4_2_6
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    Cited by:

    1. A?da Kammoun & Imen Triki, 2016. "Credit Scoring Models for a Tunisian Microfinance Institution: Comparison between Artificial Neural Network and Logistic Regression," Review of Economics & Finance, Better Advances Press, Canada, vol. 6, pages 61-78, February.

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