This article reviews the recent literature on algorithmic fairness, with a particular emphasis
on credit scoring. We discuss human versus machine bias, bias measurement, group versus …

Women are less financially literate than men. It is unclear whether this gap reflects a lack of
knowledge or, rather, a lack of confidence. Our survey experiment shows that women tend to …

Can fintech close the gender gap in access to financial services? Using novel survey data
for 28 countries, this paper finds a large and ubiquitous 'fintech gender gap': while 29% of …

Innovative women entrepreneurs can be agents of change and offer novel solutions to
global challenges. However, they face multiple barriers to growing their businesses. This …

This paper explores the gender gap in high-growth entrepreneurship using unique French
administrative data. It shows that the gender gap widens along the entrepreneurship …

We extend the existing literature on gender differences in competitive behavior by
investigating tournament entry choices when a principal decides for an agent. In a laboratory …

Economists often use balance tests to demonstrate that the treatment and control groups are
comparable prior to an intervention. We show that typical implementations of balance tests …

Online platforms often face the challenge of being both fair (ie, non-discriminatory) and
efficient (ie, maximizing revenue). Using computer vision algorithms and observational data …

This paper examines the effect of entrepreneur-investor gender match in startup funding
using data from a Chinese reality TV show. We find that female entrepreneurs receive a …

We present a machine learning pipeline for fairness-aware machine learning (FAML) in
finance that encompasses metrics for fairness (and accuracy). Whereas accuracy metrics …