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Efficiency and Mergers in E nglish Higher Education 1996/97 to 2008/9: Parametric and Non‐parametric Estimation of the Multi‐input Multi‐output Distance Function
Author(s) -
Johnes Jill
Publication year - 2014
Publication title -
the manchester school
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.361
H-Index - 42
eISSN - 1467-9957
pISSN - 1463-6786
DOI - 10.1111/manc.12030
Subject(s) - data envelopment analysis , estimation , econometrics , parametric statistics , function (biology) , economics , frontier , stochastic frontier analysis , nonparametric statistics , quality (philosophy) , efficiency , computer science , mathematics , microeconomics , statistics , production (economics) , estimator , management , philosophy , epistemology , evolutionary biology , biology , history , archaeology
This paper explores the issue of efficiency in E nglish 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.