Microfinance promises to trim down poverty. To achieve this noble objective microfinance institutions (MFIs) have to become steady profitable because donor constancy is not a given. Thus important question is: what factors drive the financial sustainability of MFIs? Using data on 217 MFIs in 101...

Motivated by recent studies that show female CFOs are more risk averse than male CFOs when making various corporate decisions, we examine whether banks take into consideration the gender of CFOs when pricing bank loans. We find that in our sample, firms under the control of female CFOs on...

This paper studies the causal effect of gender bias on access to bank credit. We extract an exogenous measure of gender bias from survey responses by descendants of US immigrants on questions about the role of women in society. We then use data on 6,000 small business firms from 17 countries and...

We analyze micro-level data from the Danish credit register and find that female business owners pay higher interest rates on corporate loans than male owners. The gender gap is partly explained by differences in firm and loan characteristics. However, an economically and statistically...

Small and micro enterprises are usually majority owned by entrepreneurs. Using a unique sample of loan applications from such firms, we study the role of owners' gender in the credit decision of banks and the post-credit decision firm outcomes. We find that, ceteris paribus, female entrepreneurs...

Practically all industrialized economies restrict the length of time that credit bureaus can retain borrowers' negative credit information. There is, however, a large variation in the permitted retention times across countries. By exploiting a quasi-experimental variation in this retention time,...

Usury is a frequent occurrence in consumer credit markets and particularly affects low-income households. Although the term usury conjures images of a greedy individual consciously acting to exploit the weak bargaining position of another by deceitful and even fraudulent means, we consider it as...

In micro-lending markets, lack of recorded credit history is a significant impediment to assessing individual borrowers' creditworthiness and therefore deciding fair interest rates. This research compares various machine learning algorithms on real micro-lending data to test their efficacy at...

The global financial crisis affected microfinance institutions (MFIs) as lending growth was constrained by scarcer borrowing opportunities, while the economic slowdown negatively impacted asset quality and profitability. It also brought to the fore the relatively high interest rates that MFIs...