Undoing Gender Inequality Traps in the Financial Sector: The Case of Colombia

Gender data is needed to gauge the extent to which financial services include and benefit women. However, sex-disaggregated data that tracks access to and use of financial services is still hard to come by, and it is especially rare to have country-level data that captures the universe of financial sector providers (FSPs) and is published on a regular basis.

A notable exception is Colombia, where Banca de Oportunidades (BdO), a public sector technical assistance and advocacy platform, compiles in a centralized data platform anonymized data from all FSPs in partnership with Colombia’s Superintendency of Banks. The 2023 edition, the 13^th annual publication, reports on 15 million transactions, 60 percent of them monetary, from the universe of banks, credit and savings cooperatives, microfinance institutions, and fintechs. The report tells a sobering story worth highlighting of the trajectory of women’s financial inclusion because it mirrors much of what we know about the constraints women face having access to financial services in low- and middle-income countries. The report’s numbers suggest that: 

Expanding access is not enough

Despite almost universal access to financial products, gender gaps persist. In 2023, 19 out of every 20 adult Colombians (or 94.6 percent) reported access to at least one financial product or service. However, women faced less favorable conditions (see below), underscoring that mere access is insufficient.

Gender gaps are evident in both savings and credit 

In 2023, women had 6.5 and 3.7 percentage points (pp) lower access to savings and credit, respectively, than men. While women’s access to savings increased over time–from 75 percent in 2018 to 90.4 percent in 2023–the gender gap widened (from 4.3 pp to 6.5 pp). In the same period, the gender gap in credit narrowed slightly (from 4.8 pp to 3.7 pp) but both men’s and women’s access to credit decreased–for women from 37.7 percent in 2018 to 33.4 percent in 2023. 

Women face access to credit in less favorable conditions than men 

Interest rates are higher for women clients across all loan types, and highest for microcredit–with a 5.4 percent gender gap–which women access more than men. In 2023, women accessed 1,029 million and men accessed 857,000 microcredit loans. More men than women accessed commercial loans (20,000 versus 14,000 loans) while housing loans went equally to women and men. 

Paradoxically, these less favorable conditions coexist with women exhibiting lower credit risks than men

Women have better repayment rates than men across loan types (Figure 1). Women also perform better across insurance products, except for microinsurance, showing lower accident rates. However, female clients have 13.8 pp lower access to insurance products than men. 

Figure 1: Total Repayment Rates, Overdue More Than 30 Days. 

The data implies that women’s good financial behavior is penalized rather than prized, with higher interest rates and lower access to financial products 

This is partly the result of gender biases that affect both the demand and supply of credit and lead to rationing credit to women.

Rationing credit and other financial services to women perpetuates ‘gender inequality traps’ leading to further rationing  

It all starts with women having fewer assets to use as collateral and lower earnings than men (a commonplace fact across financial markets everywhere) which leads them to qualify for smaller loans. In turn, this results in women having less access to credit to increase earnings because of the high costs to lenders of serving customers with small loans, resulting in even lower earnings.

Gender biases that affect the supply and demand for credit reinforce this vicious cycle 

Results from five clever experiments in Colombia done by BdO in collaboration with the Development Bank of Latin America and the Caribbean (CAF) suggest how easily these gender biases reinforce each other:

1. On the supply side, there is cognitive and perceptual biases (the latter detected by eye-tracking) from financial sector providers–male potential borrowers are ‘ex-ante’ perceived as having higher earnings than similar women. And female bank agents are stricter at evaluating female clients than male clients.
2. On the demand side, the incorrect assumption that women are higher credit risks than men is reinforced by female clients’ own lower self-confidence and greater self-exclusion from financial services: women do not apply for credit because they anticipate they will be rejected because they have lower earnings. 

Not surprisingly perhaps, women in Colombia score lower than men in a financial health indicator–with an average score of 4.9 for women and 5.6 for men measured in a 0 to10 scale (scored by BdO using data from the 2022 edition of the survey).

To overcome these gender inequality traps, only a combination of strategies will work

Solutions must address both demand- and supply-side constraints and include:

• Expand access to financial services to all by lowering the costs of serving small and micro borrowers, including women–as a recently announced collaboration between the Bill and Melinda Gates Foundation, the European Investment Bank, and KCB Bank Kenya seeks to pilot in Kenya by lowering the costs of loans to female micro borrowers through digital technology and data, and risk-sharing.
• Increase women’s self-confidence and combat their self-exclusion from financial services with credit ‘plus’ interventions that include ‘soft skills’ training.
• Provide customized products that fit women’s needs, including importantly insurance and microinsurance that respond to women’s greater need for mitigating (family) risks.
• Combat supply sides biases that lead to inefficiencies and exclusions, including incentives to financial sector providers to reach women with financial services.
• For the above, collect and publish gender data, but data that does not end up sitting on a shelf gathering dust; data that instead is used to make management decisions, which underscores the role of public sector institutions such as BdO in collaborating with and incentivizing financial sector providers, and in measuring, tracking, and reporting progress in financial inclusion.

Fortunately, there is a growing wealth of research that backs up the solutions suggested above. But there is still an important practical research agenda ahead:

• First is reaching the poorest and excluded with financial services that they may need.  In the case of Colombia, this includes indigenous and afro-descendent populations in geographical distant regions of the country. This requires building further granularity in the financial inclusion data, following guidelines of intersectionality data in development.
• There is substantial research on demand-side constraints in women’s access to financial services.  There is comparatively little research on supply-side gender biases and solutions to these biases that can be scaled.
• Lastly, there is the task of developing financial health indicators that can be easily and widely used disaggregated by gender and other demographic features to monitor an important development outcome from increasing financial access to all.