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This paper explores the issue of efficiency in English higher education using data envelopment analysis and stochastic frontier analysis to estimate an output distance function (which incorporates measures of both quantity and quality of teaching and research inputs and outputs) over a 13‐year period. The study compares the efficiency estimates derived from various estimation methods, and uses the results to provide guidance to researchers, managers and policymakers on undertaking efficiency studies. The length of the study under consideration allows a preliminary statistical investigation of the effects on efficiency of merger activity in higher education.

In this study we use a distance function approach to derive Malmquist productivity indexes for 112 English higher education institutions (HEIs) over the period 1996/97 to 2004/5. The analysis shows that HEIs have experienced an annual average increase in productivity of 1 per cent. Further investigation reveals that HEIs have enjoyed an annual average increase in technology of 6 per cent combined with a decrease in technical efficiency of 5 per cent. Rapid changes in the higher education sector appear to have had a positive effect on the technology of production but this has been achieved at the cost of lower technical efficiency.

AbstractData envelopment analysis (DEA) and multilevel modelling (MLM) are applied to a data set of 54,564 graduates from UK universities in 1993 to assess whether the choice of technique affects the measurement of universities' performance. A methodology developed by Thanassoulis and Portela (2002; Education Economics, 10(2), pp. 183–207) allows each individual's DEA efficiency score to be decomposed into two components: one attributable to the university at which the student studied and the other attributable to the individual student. From the former component, a measure of each institution's teaching efficiency is derived and compared to the university effects from various multilevel models. The comparisons are made within four broad subjects: pure science, applied science, social science and arts. The results show that the rankings of universities derived from the DEA efficiencies which measure the universities' own performance (i.e., having excluded the efforts of the individuals) are not strongly correlated with the university rankings derived from the university effects of the multilevel models. The data were also used to perform a university‐level DEA. The university efficiency scores derived from these DEAs are largely unrelated to the scores from the individual‐level DEAs, confirming a result from a smaller data set (Johnes, 2006a; European Journal of Operational Research, forthcoming). However, the university‐level DEAs provide efficiency scores which are generally strongly related to the university effects of the multilevel models.

This major Handbook comprehensively surveys the rapidly growing field of the economics of education. It is unique in that it comprises original contributions on an exceptional range of topics from a review of human capital, signalling and screening models, to consideration of issues such as educational externalities and economic growth, funding models, determinants of educational success, the educational production function, educational standards and efficiency measurement. Labour market issues such as the market for teachers and the transition of students from school to work are also explored

This paper focuses on the effect of merger on university efficiency. In a first stage analysis, efficiency scores of English universities are derived for a 17-year period using the frontier estimation method data envelopment analysis. A second stage analysis explores the effect of merger and other factors on efficiency. We find that mean efficiency for the sector has varied from around 60% to 70%, but that the efficiency levels of the vast majority of individual higher education institutions (HEIs) are not significantly different from each other. Merged HEIs have an efficiency which is around five percentage points higher post-merger than nonmerging HEIs holding all else constant; but we find that the efficiency impact of merger does not last long (not more than a year) after the merger. The transitory nature of the efficiency gain is an important finding which should be noted by politicians and managers considering a policy of merger.

Discusses the current system of higher education funding in the UK, and proposals for its reform. Possible reforms include methods whereby the direct burden of paying for tuition is shifted from government and towards students, which raises the question of how much of the total burden should be shifted. To examine this issue, constructs a general equilibrium model which seeks to explain the determination of occupation‐specific wages and the allocation of work between three occupations: labouring, management and teaching. Derives comparative statics and assesses the impact of alternative finding arrangements for post‐compulsory education.