TY - JOUR
T1 - Measuring teaching efficiency in higher education
T2 - An application of data envelopment analysis to economics graduates from UK Universities 1993
AU - Johnes, Jill
PY - 2006/10/1
Y1 - 2006/10/1
N2 - Data envelopment analysis (DEA) is applied to 2547 Economics graduates from UK Universities in 1993 in order to assess teaching efficiency. Following a methodology developed by [Education Economics 10(2) (2002) 183-207], each individual's efficiency is decomposed into two components: one attributable to the university at which the student studied, and the other attributable to the student himself. From the former component, a measure of each institution's teaching efficiency is derived and compared to efficiency scores derived from a conventional DEA applied using each Economics department as a decision making unit (DMU). The results suggest that efficiencies derived from DEAs performed at an aggregate level include both institution and individual components, and are therefore misleading. Thus the unit of analysis in a DEA is highly important. Moreover, an analysis at the individual level can give institutions insight into whether it is the students' own efforts or the institution's efficiency which are a constraint on increased efficiency. This has implications for the choice of strategy for improving efficiency.
AB - Data envelopment analysis (DEA) is applied to 2547 Economics graduates from UK Universities in 1993 in order to assess teaching efficiency. Following a methodology developed by [Education Economics 10(2) (2002) 183-207], each individual's efficiency is decomposed into two components: one attributable to the university at which the student studied, and the other attributable to the student himself. From the former component, a measure of each institution's teaching efficiency is derived and compared to efficiency scores derived from a conventional DEA applied using each Economics department as a decision making unit (DMU). The results suggest that efficiencies derived from DEAs performed at an aggregate level include both institution and individual components, and are therefore misleading. Thus the unit of analysis in a DEA is highly important. Moreover, an analysis at the individual level can give institutions insight into whether it is the students' own efforts or the institution's efficiency which are a constraint on increased efficiency. This has implications for the choice of strategy for improving efficiency.
KW - Data envelopment analysis
KW - Efficiency measurement
KW - Higher education
UR - http://www.scopus.com/inward/record.url?scp=33745967749&partnerID=8YFLogxK
U2 - 10.1016/j.ejor.2005.02.044
DO - 10.1016/j.ejor.2005.02.044
M3 - Article
AN - SCOPUS:33745967749
VL - 174
SP - 443
EP - 456
JO - European Journal of Operational Research
JF - European Journal of Operational Research
SN - 0377-2217
IS - 1
ER -