The Unpaid Economy: Why Gender-Responsive Research Is No Longer Optional

By ADRI Research Institute

There is a vast economy operating across East Africa that does not appear in any GDP figure, any budget line, or any investment report. It is the economy of unpaid care — the cooking, fetching water, nursing the sick, and raising children that falls overwhelmingly on women and girls.

It is not invisible because it is unimportant. It is invisible because we have designed our research tools to miss it.

What the Data Gets Wrong

Most household surveys are built around a simple assumption: that economic activity means paid activity. A woman who spends six hours a day caring for children and elderly relatives, managing household food production, and walking four kilometres to a water source is recorded as "not working."

This is not a minor measurement error. It is a structural blind spot that distorts every policy decision built on top of it — from labour market interventions to social protection design to agricultural extension programmes that assume the primary farmer is male and has time to attend training sessions.

When we do not count what women do, we do not fund what women need.

The Policy Consequences Are Real

Nutrition programmes that require mothers to attend weekly health facility sessions fail to account for the competing demands on their time. Agricultural productivity projects designed around full-day demonstration plots exclude women who cannot leave their households. Credit products structured around collateral and formal employment records systematically exclude the majority of women smallholders.

None of these failures are accidental. They are the predictable outcome of policies designed without gender-disaggregated evidence.

The good news is that this is a solvable problem — and it starts with how we design research.

What Gender-Responsive Research Actually Looks Like

It is not enough to disaggregate survey data by sex at the analysis stage and call it a gender analysis. Genuine gender-responsive research requires:

Designing differently from the start. Research questions must explicitly ask about time use, decision-making power, asset ownership, and mobility constraints — not as an afterthought, but as core study objectives.

Reaching respondents who are routinely missed. Women in many communities are underrepresented in household surveys because enumerators default to the male "household head." Intentional sampling design and female enumerator deployment changes this.

Interpreting findings in context. A finding that women have lower agricultural productivity than men is not a conclusion — it is a starting point for understanding why. What inputs do they lack access to? What time constraints do they face? What land tenure arrangements are in play?

Connecting findings to actionable recommendations. Evidence that documents inequality without proposing practical pathways for change has done half the job at best.

A Shift in How We Think About Development

The most effective development programmes of the last two decades share a common thread: they took gender seriously as an analytical category, not a compliance checkbox.

East Africa's development challenges — food insecurity, climate vulnerability, poverty, weak service delivery — cannot be addressed without understanding how they are experienced differently by women and men, girls and boys.

Research that fails to capture this is not rigorous research. It is incomplete research, producing incomplete answers to incomplete questions.

The standard needs to be higher. The tools exist. What is needed is the will to use them.