Mubiinzi GeoffreySenyonga LivingstoneKigongo Kaawaase TwahaWasswa FrancisAdaramola Muyiwa S.Nantongo Maria2026-11-142026-11-142026-08-27Mubiinzi, G., Senyonga, L., Kaawaase, T. K., Wasswa, F., Adaramola, M. S., & Nantongo, M. (2026). Household electric energy efficiency: A stochastic frontier analysis of Uganda’s survey data. Energy 360, 6, 100085. https://doi.org/10.1016/j.energ.2026.100085http://hdl.handle.net/20.500.12280/3369This study examines household electric energy efficiency in Uganda by assessing how effectively households convert electricity and complementary domestic conditions into welfare-relevant services. The issue is important because electricity access and electricity consumption do not automatically translate into useful household outcomes, especially where reliability, housing quality, appliance ownership, and household resources differ. Using Uganda National Household Survey 2020/2021 data, the study constructs a household electricity-service proxy from electricity-enabled service assets and estimates household efficiency using stochastic frontier analysis, followed by fractional response models, a control-function correction, and predictive validation. The results show substantial heterogeneity in household electricity-service production. The baseline frontier estimates a mean technical efficiency of 0.604, with a median of 0.621 and a 90th percentile of 0.860, indicating that many electricity-using households operate below best-practice service performance. Efficiency is also unequal, with a Gini coefficient of 0.194 and a 90th-to-10th percentile ratio of 3.155. Electricity consumption and daily power availability are positively associated with service output, but the electricity-consumption elasticity is small, at 0.071 under the baseline specification, suggesting less than proportional service gains from additional electricity use. Efficiency is systematically associated with household assets, housing quality, literacy, household composition, electricity cost, and regional location. The evidence provides a service-oriented basis for identifying where household electricity benefits remain constrained. The study concludes that household electricity policy should move beyond connection and consumption metrics toward improving reliability, domestic service conditions, and the household capabilities that shape electricity-service performance.enhttps://creativecommons.org/licenses/by/4.0/Energy efficiencyElectricity servicesStochastic frontierTechnical efficiencyHeteroskedastic inefficiencyFractional logitPredictive validationArticlehttps://doi.org/10.1016/j.energ.2026.100085