Despite the importance of agriculture in developing countries, and the general recognition of the need for strengthening data quality, very few studies examine the quality of available data and the data generation methods in agriculture. In this paper, we use data from an extensive deployment of...

This paper explores the consequences for parametric and non-parametric efficiency levels and rankings when using grouped instead of individual Decision Making Units (DMU). The bias results due to the differences of the grouped DMUs frontier compared to the individual DMUs frontier. Monte Carlo...