The effect of competition on the efficiency of secondary schools in England

Abstract In this paper we calculate the technical efficiencies, based upon multiple outputs – school exam performance and attendance rates – of all secondary schools in England over the period 1993–1998. We then estimate models to examine the determinants of efficiency in a particular year, and the determinants of the change in efficiency over the period. Our results suggest that the greater the degree of competition between schools the more efficient they are. The strength of this effect has also increased over time which is consistent with the evolution of the quasi-market in secondary education. Competition is also found to be an important determinant of the change in efficiency over time. There is, however, some evidence of conditional convergence between schools.

[1]  James Richmond,et al.  Productivity and efficiency in the UK: a time series application of DEA , 1999 .

[2]  Michael Norman,et al.  Data Envelopment Analysis: The Assessment of Performance , 1991 .

[3]  E. Cohn,et al.  Economies of Scale in Iowa High School Operations , 1968 .

[4]  John Ruggiero.  Nonparametric analysis of educational costs , 1999, Eur. J. Oper. Res..

[5]  J. Fredericks Volkwein,et al.  The Cost Structure of American Research Universities , 1991 .

[6]  Julian R. Betts,et al.  Does School Quality Matter? Evidence from the National Longitudinal Survey of Youth , 1995 .

[7]  Emmanuel Thanassoulis,et al.  Guiding Schools to Improved Performance Using Data Envelopment Analysis: An Illustration with Data from a Local Education Authority , 1994 .

[8]  A. Charnes,et al.  Data Envelopment Analysis Theory, Methodology and Applications , 1995 .

[9]  Geraint Johnes,et al.  The costs of multi-product organizations and the heuristic evaluation of industrial structure , 1998 .

[10]  J. Riew,et al.  Economies of Scale in High School Operation , 1966 .

[11]  H. Correa.  An Economic Analysis of Class Size and Achievement in Education , 1993 .

[12]  T. Kirjavainen,et al.  Efficiency differences of finnish senior secondary schools: An application of DEA and Tobit analysis , 1998 .

[13]  Karen Akerhielm,et al.  Does class size matter , 1995 .

[14]  María Jesús Mancebón,et al.  Performance in primary schools , 2000, J. Oper. Res. Soc..

[15]  Elchanan Cohn.  Market approaches to education : vouchers and school choice , 1997 .

[16]  Michael Rutter,et al.  Fifteen Thousand Hours: Secondary Schools and Their Effects on Children , 1979 .

[17]  Peter Chalos,et al.  An application of data envelopment analysis to public sector performance measurement and accountability , 1995 .

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

[19]  C. A. Knox Lovell,et al.  Stratified Models of Education Production Using Modified DEA and Regression Analysis , 1994 .

[20]  D. Aigner,et al.  P. Schmidt, 1977,?Formulation and estimation of stochastic frontier production function models,? , 1977 .

[21]  R. Banker.  Maximum likelihood, consistency and data envelopment analysis: a statistical foundation , 1993 .

[22]  David Mayston,et al.  Performance Assessment in the Education Sector: educational and economic perspectives , 1987 .

[23]  Subhash C. Ray,et al.  Resource-Use Efficiency in Public Schools: A Study of Connecticut Data , 1991 .

[24]  James Symons,et al.  Attainment in Secondary School , 1997 .

[25]  R. Banker.  Estimating most productive scale size using data envelopment analysis , 1984 .

[26]  Martyn J. Andrews,et al.  Modelling the Transition from School and the Demand for Training in the United Kingdom , 1997 .

[27]  Steve Bradley,et al.  The effect of spatial competition on secondary school exam performance , 1998 .

[28]  Derek L. Bosworth,et al.  Truancy and Pupil Performance. , 1994 .

[29]  Susanna Loeb,et al.  The Effect of Measured School Inputs on Academic Achievement: Evidence from the 1920s, 1930s and 1940s Birth Cohorts , 1995 .

[30]  James Symons,et al.  Do Peer Groups Matter? Peer Group Versus Schooling Effects on Academic Attainment , 2003 .

[31]  Robert Crouchley,et al.  Testing for Quasi-Market Forces in Secondary Education , 2000 .

[32]  Eric A. Hanushek,et al.  The Economics of Schooling: Production and Efficiency in Public Schools , 1986 .

[33]  Jeff Kennington,et al.  An Application of Mathematical Programming to Assess Productivity in the Houston Independent School District , 1982 .

[34]  M. Farrell.  The Measurement of Productive Efficiency , 1957 .

[35]  Richard H. Silkman,et al.  Measuring efficiency : an assessment of data envelopment analysis , 1986 .

[36]  Rolf Färe,et al.  Measuring School District Performance , 1989 .

[37]  David Card,et al.  School Quality and Black-White Relative Earnings: A Direct Assessment , 1991 .

[38]  Eric A. Hanushek,et al.  Interpreting recent research on schooling in developing countries , 1995 .

[39]  J. Cubbin,et al.  Public Sector Efficiency Measurement: Applications of Data Envelopment Analysis , 1992 .

[40]  S. J. Prais,et al.  Productivity, education, and training : an international perspective , 1995 .

[41]  Steve Bradley,et al.  The effect of school size on the exam performance of secondary schools , 1998 .

[42]  P. Schmidt,et al.  Limited-Dependent and Qualitative Variables in Econometrics. , 1984 .

[43]  E. Wailand Bessent,et al.  Determining the Comparative Efficiency of Schools through Data Envelopment Analysis , 1980 .

[44]  David Mayston,et al.  Developing Models of Educational Accountability , 1988 .

[45]  Peter C Smith,et al.  Measuring efficiency in the public sector , 1987 .

[46]  Emmanuel Thanassoulis,et al.  Estimating preferred target input−output levels using data envelopment analysis , 1992 .

[47]  E. Cohn,et al.  Institutions of Higher Education as Multi-product Firms: Economies of Scale and Scope , 1989 .

[49]  A. Hakkert,et al.  No More Excuses: A New Approach to Tackling Youth Crime in England and Wales; a Summary , 1998 .