The results of using data envelopment analysis (DEA) to assess the relative
efficiency of 45 Canadian universities are reported. Outcomes are obtained
from nine different specifications of inputs and outputs. The relative eff
iciencies are quite consistent across the alternative specifications. A sub
set of universities including universities from each of three categories (c
omprehensive with medical school, comprehensive without medical school, and
primarily undergraduate) - are regularly found efficient and a subset quit
e inefficient but, overall and for most universities, the efficiency scores
are relatively high. Simulation of the recent 20-percent cut in provincial
grants to the Alberta universities illustrates how potential efficiency im
provements (as implied and measured by this methodology) might be realized
but it also illustrates certain limitations. Regression analysis is used in
an effort to identify further determinants of efficiency. While there are
limitations to the methodology and the available (especially output) measur
es which make the specific efficiency outcomes tentative, this analysis pro
vides insight to university productivity in Canada and its analysis.