A data-science study of how visible women's economic activity is: measurement model, uncertainty, sensitivity, scenarios and value of information - Marshall Islands

The Gender Economic Visibility Index (GEVI) asks whether women’s economic activity is present, measured and recognised in the systems that set policy, budgets and taxes. This paper applies the index to Marshall Islands as a data-science measurement problem: 13 inputs are converted to parity scores, aggregated into five dimensions by a weighted geometric mean, and run through a Monte Carlo model of 10,000 draws that varies indicator scores and dimension weights together.

The Marshall Islands score a GEVI of 44.7 (90% interval 37.5 to 52.0), in the Hidden band and 14th of 15. Two things pull the score down together: there are no women in ministerial positions, and only 2 of 12 core economic rows have a sex-disaggregated value, so 5 of 13 inputs are imputed (blind-spot ratio 0.38).

The strongest dimension is labour participation (0.815) and the weakest is institutional visibility (0.150); statistical and political voice takes the largest Shapley share (39%) of the 55.3-point gap to full parity. Of the 13 inputs, 8 are grade A and 5 are grade C (imputed), and the imputed inputs act as placeholders that widen the interval. Across seven weighting schemes the rank runs from 11 to 14, and across ten alternative specifications from 13 to 14, with the score moving by up to 9.9 points. Raising data coverage to 9 of 12 rows is worth +8.7 points, and a greedy pathway of +0.10 steps on measured indicators reaches the 65-point Emerging threshold after 14 steps. Every number is reproducible from the accompanying Python scripts with a fixed random seed of 2026.