The paper introduces a novel approach to evaluate performance in the executive functioning skills of bilingual and monolingual children. This approach targets method and analysis specific issues in the field, which has reached an impasse (Antoniou et al., 2021). This study moves beyond the traditional approach towards bilingualism, by using an array of executive functioning tasks and frontier methodologies which allow us to jointly consider multiple tasks and metrics in a new measure; technical efficiency (TE). We use a Data Envelopment Analysis technique to estimate TE for a sample of 32 Greek-English bilingual and 38 Greek monolingual children. In a second-stage we compare the TE of the groups using an ANCOVA, a bootstrap regression and a k-means nearest neighbour technique, while controlling for a range of background variables. Results show that bilinguals have superior TE compared to their monolingual counterparts, being around 6.5% more efficient. Robustness tests reveal that TE yields similar results to the more complex conventional MANCOVA analyses, while utilising information in a more efficient way. By using the TE approach on a relevant existing dataset, we further highlight TE’s advantages compared to conventional analyses; not only does TE use a single measure, instead of two principal components, but it also allows more group observations as it accounts for differences between the groups by construction.