The Completion Shift of German Universities of Applied Sciences

In research on higher education, the evaluation of completion and drop-out rates has generated a steady stream of interest for decades. While most studies only calculate quotes using student and graduate numbers for both phenomena, we propose to also consider the budget available to universities. We transfer the idea of the excellence shift from the research (Bornmann et al., 2017) to the teaching area, and particularly to the completion rate of educational entities. The completion shift shows institutions’ ability to produce graduates as measured against their basic academic teaching efficiency, thereby avoiding the well-known heterogeneity problem in efficiency measurement. Their politically determined focus on education makes German universities of applied science the perfect sample for evaluating this novel method. Using a comprehensive dataset covering the years 2008 to 2013, we show that the shift produces results, which correlate considerably with the results of the standard Data Envelopment Approach (DEA). Thus, we recommend the completion shift as an alternative method of efficiency measurement in the teaching area. Compared to DEA, the computation of the shift is easy and the results are understandable to non-economists.

[1]  D. Prowe Berlin , 1855, Journal of public health, and sanitary review.

[2]  Vincent Tinto Dropout from Higher Education: A Theoretical Synthesis of Recent Research , 1975 .

[3]  Jan Sadlak Efficiency in higher education — Concepts and problems , 1978 .

[4]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[5]  Svein Kyvik,et al.  Structural changes in higher education systems in Western Europe , 2004 .

[6]  Tommaso Agasisti,et al.  Reforming the university sector: effects on teaching efficiency—evidence from Italy , 2006 .

[7]  Geraint Johnes,et al.  Differences in cost structure and the evaluation of efficiency: the case of German universities , 2007 .

[8]  Jill Johnes,et al.  Higher education institutions costs and efficiency: Taking the decomposition a further step , 2009 .

[9]  G. Kempkes,et al.  The efficiency of German universities–some evidence from nonparametric and parametric methods , 2010 .

[10]  P. Bogetoft,et al.  Benchmarking with DEA, SFA, and R , 2011 .

[11]  Heike Wetzel,et al.  Competing in the Higher Education Market: Empirical Evidence for Economies of Scale and Scope in German Higher Education Institutions , 2014 .

[12]  Carla Haelermans,et al.  Comparing Efficiency of Public Universities Among European Countries: Different Incentives Lead to Different Performances , 2014 .

[13]  Ulrich Heublein,et al.  Student Drop-Out from German Higher Education Institutions. , 2014 .

[14]  Katja Theune,et al.  The working status of students and time to degree at German universities , 2015 .

[15]  Jevin D. West,et al.  Predicting Student Dropout in Higher Education , 2016, ArXiv.

[16]  Mehdi Rhaiem,et al.  Measurement and determinants of academic research efficiency: a systematic review of the evidence , 2017, Scientometrics.

[17]  Lutz Bornmann,et al.  Calculating the excellence shift: How efficiently do institutions produce highly cited papers? , 2017, Scientometrics.

[18]  Kristof De Witte,et al.  Efficiency in education: a review of literature and a way forward , 2017, J. Oper. Res. Soc..

[19]  S. Gralka Persistent inefficiency in the higher education sector: evidence from Germany , 2018 .

[20]  Tommaso Agasisti,et al.  The transient and persistent efficiency of Italian and German universities: a stochastic frontier analysis , 2019, Applied Economics.