Measuring Public Owned University Departments' Efficiency: A Bootstrapped DEA Approach
AbstractThis 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.
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Bibliographic InfoArticle provided by Economics and Econometrics Research Institute (EERI), Brussels in its journal Journal of Economics and Econometrics.
Volume (Year): 55 (2012)
Issue (Month): 2 ()
Departments’ efficiency; Data Envelopment Analysis; bootstrap techniques; Kernel density estimation.;
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