Algorithms for Inclusion : Data Driven Lending for Women Owned SMEs
All over the world, women have less access to credit than men. Because of both discriminatory property laws and unwritten social customs, women are less likely than men to own high-value assets that can be used as collateral to secure loans. Financ...
| Main Authors: | , , , , |
|---|---|
| Format: | Brief |
| Language: | English en_US |
| Published: |
World Bank, Washington, DC
2017
|
| Subjects: | |
| Online Access: | http://documents.worldbank.org/curated/en/492891498813444777/Algorithms-for-inclusion-data-driven-lending-for-women-owned-SMEs http://hdl.handle.net/10986/27480 |