Purpose -The purpose of this paper is to complement and extend previous literature reviews on Technical Efficiency (TE) in dairy farms, analysing the effects of different methodologies and study-specific characteristics on Mean TE (MTE). Design/methodology/approach -The researchers independently conducted a systematic review of more than 400 abstracts and 85 full-text papers. Original keywords were applied to seven key electronic databases. Results from a meta-regression analysis of 85 published papers totalling 443 TE distributions in dairy farms worldwide are discussed. Findings -The variation in the MTE indexes reported in the literature can be explained by the methodology of estimations (method of estimation, functional form of frontier models, model dimensionality), the farms geographical location and farm size. Additionally, the results suggest that, given the state of technology prevailing in each country at the time that the studies on TE were conducted, dairy farmers in the sample could increase milk output by 20.9 per cent (level of inefficiency), on average, if they produce on their frontiers. Originality/value -This study makes two important contributions: first, it updates and compares previous works on frontier estimation of TE in dairy farms; and second, it adds two dimensions of dairy farms, size (herd and land area) and economic development, to the known differentials of TE measurement. Fraser and Cordina, 1999). Understanding the factors affecting Technical Efficiency (TE) is vital to improve efficiency and performance. TE was defined by Farrell (1957) in two ways: first, the ability of firms to produce the maximum feasible output with a given bundle of inputs (output oriented); or second, the ability of firms to use minimum inputs to produce a given level of outputs (input oriented).Measuring efficiency and the potential sources of inefficiency are, therefore, important because they are the first step in a process that may lead to a substantial resource savings. These resource savings have important implications for both policy formulation and farm management. Producers benefit directly from gains in efficiency because efficient farms tend to generate higher incomes and thus have a better chance of surviving and staying in business (Bravo-Ureta and Rieger, 1991;Moreira López, 2006). On the other hand, policymakers could use this knowledge to identify and target public interventions to improve productivity and the competitiveness of dairy farms (Bravo-Ureta and Rieger, 1991;Solís et al., 2009;Chidmi et al., 2010).Different methodologies and strategies to measure TE produce contradictory results. Resti (2000) simulated the application of parametric and non-parametric techniques, concluding that there is no clear advantage of one method over the other. However, empirical studies by Sharma et al. (1999) and Solís (2005) have shown that the selection of a specific methodology can affect TE measure. Several authors have discussed the advantages and limitations of different methodological approaches (...