Measuring efficiency in education: an analysis of different approaches for incorporating non-discretionary inputs

References

• Afonso , A and St. Aubyn , M . 2005 . Cross-country Efficiency of secondary education provision: a semi-parametric analysis with non-discretionary inputs department of economics, Institute for Economics and Business Administration (ISEG), Technical University of Lisbon
   Google Scholar
• Banker , RD , Charnes , A and Cooper , WW . 1984 . Some models for estimating technical and scale inefficiencies in data envelopment analysis . Management Science , 30 : 1078 – 92 .
   Web of Science ®Google Scholar
• Banker , RD and Morey , RC . 1986 . Efficiency analysis for exogenously fixed inputs and outputs . Operations Research , 34 : 513 – 21 .
   Web of Science ®Google Scholar
• Barr , R . 2004 . DEA software tools and technology: a state-of-the-art survey in Handbook on Data Envelopment Analysis (Eds) W. Cooper, L. Y. Seiford and J. Zhu, Kluwer Academic Publishers, Boston, pp. 539–66
   Google Scholar
• Barro , R . 2001 . Human capital and growth . American Economic Review , 91 : 12 – 7 .
   Web of Science ®Google Scholar
• Bates , J . 1997 . Measuring predetermined socioeconomic inputs when assessing the efficiency of educational outputs . Applied Economics , 29 : 85 – 93 .
   Web of Science ®Google Scholar
• Bessent , AM , Bessent , EW , Kennington , J and Reagan , B . 1982 . An application of mathematical programming to assess productivity in the Houston independent school district . Management Science , 28 : 1355 – 67 .
   Web of Science ®Google Scholar
• Chakraborty , K , Biswas , B and Lewis , WC . 2001 . Measurement of technical efficiency in public education: a stochastic and non-stochastic production function approach . Southern Economic Journal , 67 : 889 – 905 .
   Web of Science ®Google Scholar
• Chalos , P . 1997 . An examination of budgetary inefficiency in education using data envelopment analysis . Financial Accountability and Management , 13 : 55 – 69 .
   Google Scholar
• Charnes , A , Cooper , WW and Rhodes , E . 1978 . Measuring the efficiency of decision making units . European Journal of Operational Research , 2 : 429 – 44 .
   Web of Science ®Google Scholar
• Charnes , A , Cooper , WW and Rhodes , E . 1981 . Evaluating program and managerial efficiency: an application of data envelopment analysis to program follow through . Management Science , 27 : 668 – 97 .
   Web of Science ®Google Scholar
• Coelli , T , Rao , DSP and Battese , G . 1998 . An Introduction to Efficiency and Productivity Analysis Kluwer Academic Publishers, Boston, MA
   Google Scholar
• Coleman , JS . 1966 . Equality of Education Opportunity , Washington, DC : GPO .
   Google Scholar
• Daraio , C and Simar , L . 2005 . Introducing environmental variables in nonparametric frontier models: a probabilistic approach . Journal of Productivity Analysis , 24 : 93 – 121 .
   Web of Science ®Google Scholar
• Engert , F . 1996 . The reporting of school district efficiency: the adequacy of ratio measures . Public Budgeting and Financial Management , 8 : 247 – 71 .
   Google Scholar
• Fried , HO and Lovell , CAK . 1996 . Searching for the Zeds paper presented at II, Georgia Productivity Workshop
   Google Scholar
• Fried , H , Schmidt , S and Yaisawarng , S . 1999 . Incorporating the operating environment into a nonparametric measure of technical efficiency . Journal of Productivity Analysis , 12 : 249 – 67 .
   Web of Science ®Google Scholar
• Fried , H , Lovell , CAK , Schmidt , S and Yaisawarng , S . 2002 . Accounting for environmental effects and statistical noise in data envelopment analysis . Journal of Productivity Analysis , 17 : 157 – 74 .
   Web of Science ®Google Scholar
• Golany , B and Roll , Y . 1993 . Some extensions of techniques to handle non-discretionary factors in data envelopment analysis . The Journal of Productivity Analysis , 4 : 419 – 32 .
   Google Scholar
• González , XM and Miles , D . 2002 . Statistical precision of DEA: a bootstrap application to Spanish public services . Applied Economic Letters , 9 : 127 – 32 .
   Web of Science ®Google Scholar
• Greene , W . 1980 . Maximum likelihood estimation of econometric frontier functions . Journal of Econometrics , 13 : 26 – 57 .
   Web of Science ®Google Scholar
• Hanushek , EA . 1986 . The economics of schooling: production and efficiency in public schools . Journal of Economic Literature , 24 : 1141 – 77 .
   Web of Science ®Google Scholar
• Hanushek , E and Kimko , D . 2000 . Schooling, labour force quality, and economic growth . American Economic Review , 90 : 1184 – 208 .
   Web of Science ®Google Scholar
• Hollingsworth , B and Smith , P . 2003 . Use of ratios in data envelopment analysis . Applied Economics Letters , 10 : 733 – 5 .
   Web of Science ®Google Scholar
• Kirjavainen , T and Loikkanen , HA . 1998 . Efficiency differences of finnish senior secondary schools: an application of DEA and Tobit analysis . Economics of Education Review , 17 : 377 – 94 .
   Web of Science ®Google Scholar
• Lovell , CAK . 1993 . Production frontiers and productive efficiency, in The Measurement of Productive Efficiency: Techniques and Applications , Edited by: Lovell , H , CAK and Schmidt . New York : Oxford University Press .
   Google Scholar
• McCarty , T and Yaisawarng , S . 1993 . “ Technical efficiency in New Jersey School districts ” . In The Measurement of Productive Efficiency: Techniques and Applications , Edited by: Lovell , H , CAK and Schmidt . 271 – 87 . New York : Oxford University Press .
   Google Scholar
• Mizala , A , Romanguera , P and Farren , D . 2002 . The technical efficiency of schools in Chile . Applied Economics , 30 : 1089 – 100 .
   Google Scholar
• Muñiz , M . 2002 . Separating managerial inefficiency and external conditions in data . European Journal of Operational Research , 143 : 625 – 43 .
   Web of Science ®Google Scholar
• Noulas , A and Ketkar , K . 1998 . Efficient utilization of resources in public shools: a case study of New Jersey . Applied Economics , 30 : 1299 – 306 .
   Web of Science ®Google Scholar
• Nunamaker , TR . 1985 . Using data envelopment analysis to measure the efficiency of non-profit organizations: a critical evaluation . Managerial and Decision Economics , 6 : 50 – 8 .
   Web of Science ®Google Scholar
• Oliveira , MA and Santos , C . 2005 . Assessing school efficiency in Portugal using FDH and bootstrapping . Applied Economics , 37 : 957 – 68 .
   Web of Science ®Google Scholar
• Pastor , J . 1994 . How to discount environmental effects in DEA: an application to bank branches Documento de Trabajo del Instituto Valenciano de Investigaciones Económicas
   Google Scholar
• Pedraja , F and Salinas , J . 1996 . An assessment of the efficiency of Spanish courts using DEA . Applied Economics , 28 : 1391 – 403 .
   Web of Science ®Google Scholar
• Pritchett , L and Filmer , D . 1999 . What education production functions really show: a positive theory of education expenditures . Economic of Education Review , 18 : 223 – 39 .
   Web of Science ®Google Scholar
• Ray , SC . 1991 . Resource use efficiency in public schools: a study of Connecticut data . Management Science , 37 : 1.620 – 8 .
   Web of Science ®Google Scholar
• Ruggiero , J . 1998 . Non-discretionary inputs in data envelopment analysis . European Journal of Operational Research , 111 : 461 – 9 .
   Web of Science ®Google Scholar
• Seiford , LM and Thrall , RM . 1990 . Recent developments in DEA: The matematical programming approach to frontier analysis . Journal of Econometrics , 46 : 7 – 38 .
   Web of Science ®Google Scholar
• Simar , L and Wilson , PW . 1998 . Sensitivity analysis of efficiency scores: how to bootstrap in nonparametric frontier models . Management Science , 44 : 49 – 61 .
   Web of Science ®Google Scholar
• Simar , L and Wilson , PW . 2003 . Estimation and inference in two-stage semiparametric models of production processes, Discussion Article 0307, Institut de Statistique, Université Catholique de Louvain
   Google Scholar
• Smith , P and Mayston , D . 1987 . Measuring efficiency in the public sector . OMEGA International Journal of Management Science , 15 : 181 – 9 .
   Web of Science ®Google Scholar
• Thanassoulis , E and Dunstan , P . 1994 . Guiding schools to improved performance using data envelopment analysis: an illustration with data from a local education autority . Journal of the Operational Research Society , 45 : 1247 – 62 .
   Web of Science ®Google Scholar
• Thanassoulis , E and Silva-Portela , MC . 2002 . School outcomes: sharing the responsability between pupil and school . Education Economics , 10 : 183 – 207 .
   Google Scholar
• Worthington , AC and Dollery , BE . 2002 . Incorporating contextual information in public sector efficiency analyses: a comparative study of NSW local government . Applied Economics , 34, : 453 – 64 .
   Web of Science ®Google Scholar
• Xue , M and Harker , PT . 1999 . Overcoming the inherent dependency of DEA efficiency scores: a bootstrap Approach Working Article, Wharton Financial Institutions Center, University of Pennsylvania
   Google Scholar
• Yu , C . 1998 . The effects of exogenous variables in efficiency measurement: a Monte Carlo study . European Journal of Operational Research , 105 : 569 – 80 .
   Web of Science ®Google Scholar