Using Big Data to Understand Investment Gaps
When the investment gap is explored, it often examines demographic groups separately as opposed to intersectional. This study aims to examine how intersecting identities impact the investment gap within entrepreneurship.
Though entrepreneurship is often viewed as an endeavour that is accessible to all, the investment gaps demonstrate inequalities and barriers to business growth for underrepresented social groups. However, there is a lack of research on how intersecting identities create differences in entrepreneurial investment outcomes. This study focuses on highlighting the prevalent investment gaps within the investor-founder dyad.
The methodology includes preprocessing and analysing over 2 million data records to create a series of descriptive statistics, crosstabulation analysis and network analysis to identify the investment gaps across different demographic groups to predict likelihood of investment for underrepresented social groups. The aim is to understand how prevalent the inequalities are amongst different social groups through an intersectional lens.
TBA
