In Simple Words
Imagine a family garden where carrots start getting watered more. Is it because the mother took control of the watering hose, or because everyone in the family realized carrots can now be sold for double the price at market? If mothers who didn't gain any new power still water the carrots more, it proves the increased watering is driven by the carrot's higher market price, not a shift in who holds the hose.
Ever-married women in restricted households
- No study recruiter visits
- Group used for comparison
- Annual recruiter visits
- No clear autonomy-index change
Households where no member had enough schooling for BPO jobs. Three-year self-reports; no proof of mechanism independence.
See source →Research question
When labor market opportunities open for young women, changes in young girls' health and schooling could theoretically stem from increased decision-making power of working mothers rather than the direct future returns of the daughters. Disentangling daughter-specific economic returns from maternal bargaining shifts is critical for identifying the true causal driver of child investments.
Participants
3,334 to 3,415 ever-married adult women across 160 rural Indian villages in households where no adult member had 10+ years of schooling.
Study Design
Subsample RCT mechanism test measuring self-reported indices of female decision-making participation (scale 0-10) and personal autonomy (scale 0-3) at follow-up.
Results
The recruiting treatment had no statistically significant impact on women's decision-making participation (-0.071, p > 0.10) or autonomy index (+0.112, p > 0.10), proving youth human capital and family formation gains operate independently of adult female bargaining power.
Takeaway
Evaluate youth economic empowerment programs using restricted subsample analyses to verify that human capital gains are driven by direct child opportunity returns rather than adult intrahousehold power reallocations.
Source and citation
See source →Read alongside the research
Plain-English glossary
Original explanations, informed by the references below. Examples are illustrations, not data from the studies above. The research text stays unchanged.
- Follow-up
Collecting more information about participants later in a study to see what has happened to them. The term can also mean the length of time researchers keep track of them.
ExampleResearchers interview the same workers three months after a programme ends. That later interview is a follow-up.
GET-IT glossary · Follow-up ↗Read more about follow-up →- Randomized controlled trial
A study that uses chance, like drawing lots, to decide who receives each option being compared. Researchers compare the groups’ outcomes to estimate the effect of those options.
ExampleA lottery assigns volunteers to a training programme or a comparison group. Researchers then compare their outcomes.
GET-IT glossary · Randomized study ↗Read more about randomized controlled trial →- Statistically significant
A label used when a result passes a chosen statistical threshold, often p < 0.05. It does not show how large or useful an effect is. A result that is not statistically significant does not prove there is no effect.
ExampleA study reports p = 0.03 against a 0.05 threshold. It passes that test, but the effect could still be too small to matter.
American Statistical Association · Statement on p-values ↗Read more about statistically significant →