Measuring public owned university department’s efficiency: A bootstrapped DEA approach

This article uses Data Envelopment Analysis (DEA) in order to determine the performance levels of 16 departments of a public owned university. Particularly, the constant returns to scale (CRS) and variable returns to scale (VRS) models have been applied alongside with bootstrap techniques in order to determine accurate performance estimates. The study illustrates how the recent developments in efficiency analysis and statistical inference can be applied when evaluating institutional performance issues. The results reveal the existence of misallocation of resources or/and inefficient application of departments’ policy development.