The main purpose of this deliverable is to use technical efficiency scores obtained with three distinct methods, Stochastic Frontier Analysis (SFA), Data Envelopment Analysis (DEA), Operational Competitiveness Ranking Analysis (OCRA), based on national Farm Accountancy Data Network (FADN) data, in order to analyse the impact of European Union (EU) accession and the influence of farm classification, more precisely farm type, upon the performance on field crop and dairy farms in three New Member States (NMS), Bulgaria, Estonia and Hungary We provide theoretical and empirical evidence that farm classification is subject for empirical analysis, because using FADN and conceptual (e.g.Hill type) typology may result in considerably different farm structures. The main outcome of this research is that individual farms are not equivalent to family farms as usually assumed in previous research. We find that average size of individual farms is considerably higher than of family farms.