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Efficiency in education: a review of literature and a way forward

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Journal of the Operational Research Society

Abstract

This paper provides an extensive overview of the literature on efficiency in education. It summarizes the earlier applied inputs, outputs and contextual variables, as well as the used data sources of papers in the field of efficiency in education. Moreover, it reviews the papers on education that applied methodologies as data envelopment analysis, Malmquist index, Bootstrapping, robust frontiers, metafrontier or stochastic frontier analysis. Based on the insights of the literature review, a second part of the paper provides some ways forward. It attempts to establish a link between the parametric ‘economics of education’ literature and the (semi-parametric) ‘efficiency in education literature’. We point to the similarities between matching and conditional efficiency; difference-in-differences and metafrontiers; and quantile regressions and partial frontiers. The paper concludes with some practical directions for prospective researchers in the field.

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Notes

  1. See Lovell (1993) or Coelli et al (1998) for a detailed discussion on the methods for analysing technical efficiency.

  2. There are a large number of publications that review the literature about educational effectiveness research (eg Mortimore, 1991; Reynolds, 2010; Reynolds et al, 1994; Teddlie, 2010, among others).

  3. Papers from 2015 can be found online before the year starts.

  4. The Appendix is available from authors upon request.

  5. A review of the advantages and shortcomings of different frontier analysis techniques can be found in Fried et al (2008).

  6. We thank an anonymous referee for pointing this out.

References

  • Abbott M and Doucouliagos C (2002). A data envelopment analysis of the efficiency of Victorian TAFE institutes. The Australian Economic Review 35(1): 55–69.

    Article  Google Scholar 

  • Abbott M and Doucouliagos C (2003). The efficiency of Australian universities: A data envelopment analysis. Economics of Education Review 22(1): 89–97.

    Article  Google Scholar 

  • Abbott M and Doucouliagos C (2009). Competition and efficiency: Overseas students and technical efficiency in Australian and New Zealand universities. Education Economics 17(1): 31–57.

    Article  Google Scholar 

  • Abramo G and D’Angelo CA (2009). Assessing technical and cost efficiency of research activities: A case study of the Italian university system. Research Evaluation 18(1): 61–70.

    Article  Google Scholar 

  • Afonso A and Aubyn MS (2006). Cross-country efficiency of secondary education provision: A semi-parametric analysis with non-discretionary inputs. Economic Modelling 23(3): 476–491.

    Article  Google Scholar 

  • Agasisti T (2011a). How competition affects schools’ performances: Does specification matter? Economic Letters 110(3): 259–261.

    Article  Google Scholar 

  • Agasisti T (2011b). Performances and spending efficiency in higher education: A European comparison through non-parametric approaches. Education Economics 19(2): 199–224.

    Article  Google Scholar 

  • Agasisti T (2013). The efficiency of Italian secondary schools and the potential role of competition: A data envelopment analysis using OECD-PISA2006 data. Education Economics 21(5): 520–544.

    Article  Google Scholar 

  • Agasisti T (2014). The efficiency of public spending on education: An empirical comparison of EU countries. European Journal of Education 49(4): 543–557.

    Article  Google Scholar 

  • Agasisti T and Bonomi F (2014). Benchmarking universities’ efficiency indicators in the presence of internal heterogeneity. Studies in Higher Education 39(7): 1237–1255.

    Article  Google Scholar 

  • Agasisti T, Catalano G, Landoni P and Verganti R (2012). Evaluating the performance of academic departments: An analysis of research-related output efficiency. Research Evaluation 21(1): 2–14.

    Article  Google Scholar 

  • Agasisti T and Dal Bianco A (2006). Data envelopment analysis of the Italian university system: Theoretical issues and policy implications. International Journal of Business Performance Management 8(4): 344–367.

    Article  Google Scholar 

  • Agasisti T and Dal Bianco A (2009). Reforming the university sector: Effects on teaching efficiency—Evidence from Italy. Higher Education 57(4): 477–498.

    Article  Google Scholar 

  • Agasisti T, Dal Bianco A, Landoni P, Sala A and Salerno M (2011). Evaluating the efficiency of research in academic departments: An empirical analysis in an Italian region. Higher Education Quarterly 65(3): 267–289.

    Article  Google Scholar 

  • Agasisti T and Johnes G (2009). Beyond frontiers: Comparing the efficiency of higher education decision-making units across more than one country. Education Economics 17(1): 59–79.

    Article  Google Scholar 

  • Agasisti T and Johnes G (2010). Heterogeneity and the evaluation of efficiency: The case of Italian universities. Applied Economics 42(11): 1365–1375.

    Article  Google Scholar 

  • Agasisti T and Johnes G (2015). Efficiency, costs, rankings and heterogeneity: The case of US higher education. Studies in Higher Education 40(1): 60–82.

    Article  Google Scholar 

  • Agasisti T and Pérez-Esparrells C (2010). Comparing efficiency in a cross-country perspective: The case of Italian and Spanish state universities. Higher Education 59(1): 85–103.

    Article  Google Scholar 

  • Agasisti T and Salerno C (2007). Assessing the cost efficiency of Italian universities. Education Economics 15(4): 455–471.

    Article  Google Scholar 

  • Aigner D, Lovell CAK and Schmidt P (1977). Formulation and estimation of stochastic frontier production models. Journal of Econometrics 6(1): 21–37.

    Article  Google Scholar 

  • Alexander WRJ, Haug AA and Jaforullah M (2010). A two-stage double-bootstrap data envelopment analysis of efficiency differences of New Zealand secondary schools. Journal of Productivity Analysis 34(2): 99–110.

    Article  Google Scholar 

  • Anderson TR, Daim TU and Lavoie FF (2007). Measuring the efficiency of university technology transfer. Technovation 27(5): 306–318.

    Article  Google Scholar 

  • Aristovnik A (2013). ICT expenditures and education outputs/outcomes in selected developed countries: An assessment of relative efficiency. Campus-Wide Information Systems 30(3): 222–230.

    Article  Google Scholar 

  • Aristovnik A and Obadic A (2014). Measuring relative efficiency of secondary education in selected EU and OECD countries: The case of Slovenia and Croatia. Technological and Economic Development of Economy 20(3): 419–433.

    Article  Google Scholar 

  • Athanassopoulos AD and Shale E (1997). Assessing the comparative efficiency of higher education institutions in the UK by means of data envelopment analysis. Education Economics 5(2): 117–134.

    Article  Google Scholar 

  • Avkiran NK (2001). Investigating technical and scale efficiencies of Australian universities through data envelopment analysis. Socio-Economic Planning Sciences 35(1): 57–80.

    Article  Google Scholar 

  • Badin L, Daraio C and Simar L (2012). How to measure the impact of environmental factors in a nonparametric production model. European Journal of Operational Research 223(3): 818–833.

    Article  Google Scholar 

  • Banker RD, Janakiraman S and Natarajan R (2004). Analysis of trends in technical and allocative efficiency: An application to Texas public school districts. European Journal of Operational Research 154(2): 477–491.

    Article  Google Scholar 

  • Barrow MM (1991). Measuring local education authority a frontier approach. Economics of Education Review 10(1): 19–27.

    Article  Google Scholar 

  • Bates JM (1997). Measuring predetermined socioeconomic ‘inputs’ when assessing the efficiency of educational outputs. Applied Economics 29(1): 85–93.

    Article  Google Scholar 

  • Battese GE and Corra GS (1977). Estimation of a production frontier model: With applications to the pastoral zone of Eastern Australia. Australian Journal of Agricultural Economics 21(3): 169–179.

    Article  Google Scholar 

  • Battese GE, Rao DP and O'Donnell CJ (2004). A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies. Journal of Productivity Analysis 21(1): 91–103.

    Article  Google Scholar 

  • Bayraktar E, Tatoglu E and Zaim S (2013). Measuring the relative efficiency of quality management practices in Turkish public and private universities. Journal of the Operational Research Society 64(12): 1810–1830.

    Article  Google Scholar 

  • Beasley JE (1990). Comparing university departments. OMEGA, International Journal of Management Science 18(2): 171–183.

    Article  Google Scholar 

  • Beasley JE (1995). Determining teaching and research efficiencies. Journal of the Operational Research Society 46(4): 441–452.

    Article  Google Scholar 

  • Bessent A and Bessent W (1980). Determining the comparative efficiency of schools through data envelopment analysis. Educational Administration Quarterly 16(2): 57–75.

    Article  Google Scholar 

  • Bessent A, Bessent W, Kennington J and Reagan B (1982). An application of mathematical programming to assess managerial efficiency in the Houston independent school district. Management Science 28(12): 1355–1367.

    Article  Google Scholar 

  • Blackburn V, Brennan S and Ruggiero J (2014). Measuring efficiency in Australian schools: A preliminary analysis. Socio-economic Planning Sciences 48(1): 4–9.

    Article  Google Scholar 

  • Bonaccorsi A, Daraio C and Simar L (2006). Advanced indicators of productivity of universities. An application of robust nonparametric methods to Italian data. Scientometrics 66(2): 389–410.

    Article  Google Scholar 

  • Bonesrønning H and Rattsø J (1994). Efficiency variation among the Norwegian high schools: Consequences of equalization policy. Economics of Education Review 13(4): 289–304.

    Article  Google Scholar 

  • Bougnol ML and Dulá JH (2006). Validating DEA as a ranking tool: An application of DEA to assess performance in higher education. Annals of Operation Research 145(1): 339–365.

    Article  Google Scholar 

  • Bradley S, Johnes G and Millington J (2001). The effect of competition on the efficiency of secondary schools in England. European Journal of Operational Research 135(3): 545–568.

    Article  Google Scholar 

  • Bradley S, Johnes J and Little A (2010). Measurement and determinants of efficiency and productivity in the further education sector in England. Bulletin of Economic Research 62(1): 1–30.

    Article  Google Scholar 

  • Brennan S, Haelermans C and Ruggiero J (2014). Nonparametric estimation of education productivity incorporating nondiscretionary inputs with an application to Dutch schools. European Journal of Operational Research 234(3): 809–818.

    Article  Google Scholar 

  • Breu TM and Raab RL (1994). Efficiency and perceived quality of the nation’s top 25 national universities and national liberal arts colleges: An application of data envelopment analysis to higher education. Socio-Economic Planning Sciences 28(1): 33–45.

    Article  Google Scholar 

  • Burney NA, Johnes J, Al-Enezi M and Al-Musallam M (2013). The efficiency of public schools: The case of Kuwait. Education Economics 21(4): 360–379.

    Article  Google Scholar 

  • Butler RJ and Monk DH (1985). The cost of public schooling in New York State. The role of scale and efficiency in 1978–79. Journal of Human Resources 20(3): 361–381.

    Article  Google Scholar 

  • Callan SJ and Santerre RE (1990). The production characteristics of local public education: A multiple product and input analysis. Southern Economic Journal 57(2): 468–480.

    Article  Google Scholar 

  • Carpenter DM and Noller SL (2010). Measuring charter school efficiency: An early appraisal. Journal of Education Finance 35(4): 497–415.

    Article  Google Scholar 

  • Casu B and Thanassoulis E (2006). Evaluating cost efficiency in central administrative services. OMEGA, International Journal of Management Science 34(5): 417–426.

    Article  Google Scholar 

  • Caves DW, Christensen LR and Diewert WE (1982). The economic theory of index numbers and the measurement of input, output, and productivity. Econometrica 50(6): 1393–1414.

    Article  Google Scholar 

  • Cazals C, Florens JP and Simar L (2002). Nonparametric frontier estimation: A robust approach. Journal of Econometrics 106(1): 1–25.

    Article  Google Scholar 

  • Chakraborty K, Biswas B and Lewis WC (2001). Measurement of technical efficiency in public education: A stochastic and nonstochastic production function approach. Southern Economic Journal 67(4): 889–905.

    Article  Google Scholar 

  • Chalos P (1997). An examination of budgetary inefficiency in education using data envelopment analysis. Financial Accountability & Management 13(1): 55–69.

    Article  Google Scholar 

  • Chalos P and Cherian J (1995). An application of data envelopment analysis to public sector performance measurement and accountability. Journal of Accounting and Public Policy 14(2): 143–160.

    Article  Google Scholar 

  • Charnes A, Cooper WW and Rodhes E (1978). Measuring the efficiency of decision making units. European Journal of Operational Research 2(6): 429–444.

    Article  Google Scholar 

  • Charnes A, Cooper WW and Rodhes E (1981). Evaluating program and managerial efficiency: An application of data envelopment analysis to program follow through. Management Science 27(6): 668–697.

    Article  Google Scholar 

  • Cherchye L, De Witte K, Ooghe E and Nicaise I (2010). Efficiency and equity in private and public education: A nonparametric comparison. European Journal of Operational Research 202(2): 563–573.

    Article  Google Scholar 

  • Cherchye L, Perelman S and De Witte K (2015). An unified productivity-performance approach applied to secondary schools in the Netherlands. Leuven Economics of Education Research—KU Leuven. Mimeo.

  • Cherchye L and Vanden Abeele P (2005). On research efficiency. A micro-analysis of Dutch university research in economics and business management. Research Policy 34(4): 495–516.

    Article  Google Scholar 

  • Coelli T, Rao DSP and Battese G (1998). An Introduction to Efficiency and Productivity Analysis. Kluwer Academic Publishers: Boston, MA.

    Book  Google Scholar 

  • Cokgezen M (2009). Technical efficiencies of faculties of economics in Turkey. Education Economics 17(1): 81–94.

    Article  Google Scholar 

  • Colbert A, Levary RR and Shaner MC (2000). Determining the relative efficiency of MBA programs using DEA. European Journal of Operational Research 125(3): 656–669.

    Article  Google Scholar 

  • Coleman JS (1966). Equality of Educational Opportunity. US GPO: Washington, DC.

    Google Scholar 

  • Colin-Glass J, McCallion G, McKillop DG, Rasaratnam S and Stringer K (2009). Best-practice benchmarking in UK higher education: New nonparametric approaches using financial ratios and profit efficiency methodologies. Applied Economics 41(2): 249–267.

    Article  Google Scholar 

  • Conroy SJ and Arguea NM (2008). An estimation of technical efficiency for Florida public elementary schools. Economics of Education Review 27(6): 655–663.

    Article  Google Scholar 

  • Cooper ST and Cohn E (1997). Estimation of a frontier production function for the South Carolina educational process. Economics of Education Review 16(3): 313–327.

    Article  Google Scholar 

  • Cordero-Ferrera JM, Crespo-Cebada E, Pedraja-Chaparro F and Santín-González D (2011). Exploring educational efficiency divergences across Spanish regions in PISA 2006. Revista de Economía Aplicada 19(3): 117–145.

    Google Scholar 

  • Cordero-Ferrera JM, Pedraja-Chaparro F and Salinas-Jiménez J (2008). Measuring efficiency in education: An analysis of different approaches for incorporating nondiscretionary inputs. Applied Economics 40(10): 1323–1339.

    Article  Google Scholar 

  • Cordero-Ferrera JM, Pedraja-Chaparro F and Santín-González D (2010). Enhancing the inclusion of non-discretionary inputs in DEA. Journal of the Operational Research Society 61(4): 574–584.

    Article  Google Scholar 

  • Cordero-Ferrera JM, Santín D and Sicilia G (2015). Testing the accuracy of DEA estimates under endogeneity through a Monte Carlo simulation. European Journal of Operational Research 244(2): 511–518.

    Article  Google Scholar 

  • Cordero-Ferrera JM, Santín D and Simancas R (2015). Assessing European primary school performance through a conditional nonparametric model. Journal of the Operational Research Society. 1–13. Advance online publication, 24 June 2015; doi:10.1057/jors.2015.42.

  • Crespo-Cebada E, Pedraja-Chaparro F and Santín D (2014). Does school ownership matter? An unbiased efficiency comparison for regions of Spain. Journal of Productivity Analysis 41(1): 153–172.

    Article  Google Scholar 

  • Cubbin J and Zamani H (1996). A comparison of performance indicators for training and enterprise councils in the UK. Annals of Public and Cooperative Economics 67(4): 603–632.

    Article  Google Scholar 

  • Daneshvary N and Clauretie TM (2001). Efficiency and costs in education: Year-round versus traditional schedules. Economics of Education Review 20(3): 279–287.

    Article  Google Scholar 

  • Daouia A and Simar L (2007). Nonparametric efficiency analysis: A multivariate conditional quantile approach. Journal of Econometrics 140(2): 375–400.

    Article  Google Scholar 

  • Daraio C and Simar L (2005). Introducing environmental variables in nonparametric frontier models: A probabilistic approach. Journal of Productivity Analysis 24(1): 93–121.

    Article  Google Scholar 

  • Daraio C and Simar L (2006). A robust nonparametric approach to evaluate and explain the performance of mutual funds. European Journal of Operational Research 175(1): 516–542.

    Article  Google Scholar 

  • Daraio C and Simar L (2007a). Advanced Robust and Nonparametric Methods in Efficiency Analysis. Methodology and Applications. Springer: New York.

    Google Scholar 

  • Daraio C and Simar L (2007b). Conditional nonparametric frontier models for convex and non convex technologies: A unifying approach. Journal of Productivity Analysis 28(1): 13–32.

    Article  Google Scholar 

  • Davutyan N, Demir M and Polat S (2010). Assessing the efficiency of Turkish secondary education: Heterogeneity, centralization, and scale diseconomies. Socio-economic Planning Sciences 44(1): 35–44.

    Article  Google Scholar 

  • De Witte K and Hudrlikova L (2013). What about excellence in teaching? A benevolent ranking of universities. Scientometrics 96(1): 337–364.

    Article  Google Scholar 

  • De Witte K and Kortelainen M (2013). What explains the performance of students in a heterogeneous environment? Conditional efficiency estimation with continuous and discrete environmental variables. Applied Economics 45(17): 2401–2412.

    Article  Google Scholar 

  • De Witte K and Rogge N (2010). To publish or not to publish? On the aggregation and drivers of research performance. Scientometrics 85(3): 657–680.

    Article  Google Scholar 

  • De Witte K and Rogge N (2011). Accounting for exogenous influences in performance evaluations of teachers. Economics of Education Review 30(4): 641–653.

    Article  Google Scholar 

  • De Witte K, Rogge N, Cherchye L and Van Puyenbroeck T (2013). Economies of scope in research and teaching: A non-parametric investigation. OMEGA, International Journal of Management Science 41(2): 305–314.

    Article  Google Scholar 

  • De Witte K, Thanassoulis E, Simpson G, Battisti G and Charlesworth-May A (2010). Assessing pupil and school performance by non-parametric and parametric techniques. Journal of the Operational Research Society 61(8): 1124–1237.

    Article  Google Scholar 

  • Dehnokhalaji A, Korhonen PJ, Köksalan M, Nasrabadi N and Wallenius J (2010). Efficiency analysis to incorporate interval-scale data. European Journal of Operational Research 207(2): 1116–1121.

    Article  Google Scholar 

  • Deller SC and Rudnicki E (1993). Production efficiency in elementary education: The case of Maine public schools. Economics of Education Review 12(1): 45–57.

    Article  Google Scholar 

  • Demie F and Strand S (2006). English language acquisition and educational attainment at the end of secondary school. Educational Studies 32(2): 215–231.

    Article  Google Scholar 

  • Denaux ZS (2009). Determinants of technical efficiency: Urban and rural public schools in the state of Georgia. Southwestern Economic Review 26(1): 105–115.

    Google Scholar 

  • Deutsch J, Dumas A and Silber J (2013). Estimating an educational production function for five countries of Latin America on the basis of the PISA data. Economics of Education Review 36: 245–262.

    Article  Google Scholar 

  • Diamond AM and Medewitz JN (1990). Use of data envelopment analysis in an evaluation of the efficiency of the DEEP program for economic education. The Journal of Economic Education 21(3): 337–354.

    Article  Google Scholar 

  • Dolton P, Marcenaro OD and Navarro L (2003). The effective use of student time: A stochastic frontier production function case study. Economics of Education Review 22(6): 547–560.

    Article  Google Scholar 

  • Duh RR, Chen KT, Lin RC and Kuo LC (2014). Do internal controls improve operating efficiency of universities? Annals of Operations Research 221(1): 173–195.

    Article  Google Scholar 

  • Duncombe W, Miner J and Ruggiero J (1997). Empirical evaluation of bureaucratic models of inefficiency. Public Choice 93(1): 1–18.

    Article  Google Scholar 

  • Easby J (2015). GCSE and equivalent attainment by pupil characteristics, 2013 to 2014. Department for Education, Sanctuary Buildings, Great Smith Street, London. dera.ioe.ac.uk/21976/1/SFR06_2015_Text.pdf.

  • Eff EA, Klein CC and Kyle R (2012). Identifying the best buys in US higher education. Research in Higher Education 53(8): 860–887.

    Article  Google Scholar 

  • Emrouznejad A, Parker BR and Tavares G (2010). Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years of scholarly literature in DEA. Socio-economic Planning Sciences 42(3): 151–157.

    Article  Google Scholar 

  • Emrouznejad A and Thanassoulis E (2005). A mathematical model for dynamic efficiency using data envelopment analysis. Applied Mathematics and Computation 160(2): 363–378.

    Article  Google Scholar 

  • Engert F (1996). The reporting of school district efficiency: The adequacy of ratio measures. Public Budgeting and Financial Management 8(2): 247–271.

    Google Scholar 

  • Essid H, Ouellette P and Vigeant S (2010). Measuring efficiency of Tunisian schools in the presence of quasi-fixed inputs: A bootstrap data envelopment analysis approach. Economics of Education Review 29(4): 589–596.

    Article  Google Scholar 

  • Essid H, Ouellette P and Vigeant S (2013). Small is not that beautiful after all: Measuring the scale efficiency of Tunisian high schools using a DEA-bootstrap method. Applied Economics 45(9): 1109–1120.

    Article  Google Scholar 

  • Essid H, Ouellette P and Vigeant S (2014). Productivity, efficiency, and technical change of Tunisian schools: A bootstrapped Malmquist approach with quasi-fixed inputs. OMEGA, International Journal of Management Science 42(1): 88–97.

    Article  Google Scholar 

  • Eurostat (2014). GDP per Capita, Consumption per Capita and Price Level Indices. Eurostat Statistics Explained, http://ec.europa.eu/eurostat/statistics-explained/index.php/GDP_per_capita,_consumption_per_capita_and_price_level_indices.

  • Fandel G (2007). On the performance of universities in North Rhine-Westphalia, Germany: Government’s redistribution of funds judged using DEA efficiency measures. European Journal of Operational Research 176(1): 521–533.

    Article  Google Scholar 

  • Färe R, Grosskopf S and Weber WL (1989). Measuring school district performance. Public Finance Review 17(4): 409–428.

    Article  Google Scholar 

  • Ferrao ME and Couto AP (2014). The use of a school value-added model for educating improvement: A case study from the Portuguese primary education system. School Effectiveness and School Improvement 25(1): 174–190.

    Article  Google Scholar 

  • Flegg AT, Allen DO, Field K and Thurlow TW (2004). Measuring the efficiency of British universities: A multi-period data envelopment analysis. Education Economics 12(3): 231–249.

    Article  Google Scholar 

  • Fried H, Lovell CAK and Schmidt S (eds.) (2008). The Measurement of Productive Efficiency and Productivity Growth. University Press, UK: Oxford.

    Book  Google Scholar 

  • Fukuyama H and Weber WL (2002). Evaluating public school district performance via DEA gain functions. Journal of the Operational Research Society 53(9): 992–1003.

    Article  Google Scholar 

  • Ganley JA and Cubbin JS (1992). Public Sector Efficiency Measurement: Applications of Data Envelopment Analysis. North Holland: Amsterdam.

    Google Scholar 

  • Gershberg AI and Schuermann T (2001). The efficiency-equity trade-off of schooling outcomes: Public education expenditures and welfare in Mexico. Economics of Education Review 20(1): 27–40.

    Article  Google Scholar 

  • Giménez VM and Martínez JL (2006). Cost efficiency in the university: A departmental evaluation model. Economics of Education Review 25(5): 543–553.

    Article  Google Scholar 

  • Giménez VM, Prior D and Thieme C (2007). Technical efficiency, managerial efficiency and objective-setting in the educational system: An international comparison. Journal of the Operational Research Society 58(8): 996–1007.

    Article  Google Scholar 

  • Greene W (2005). Reconsidering heterogeneity in panel data estimators of the stochastic frontier model. Journal of Econometrics 126(2): 269–303.

    Article  Google Scholar 

  • Gronberg TJ, Jansen DW and Taylor LL (2012). The relative efficiency of charter schools: A cost frontier approach. Economics of Education Review 31(2): 302–317.

    Article  Google Scholar 

  • Grosskopf S, Hayes K and Taylor LL (2009). The relative efficiency of charter schools. Annals of Public and Cooperative Economics 80(1): 67–87.

    Article  Google Scholar 

  • Grosskopf S, Hayes K and Taylor LL (2014). Efficiency in education: Research and implications. Applied Economic Perspectives and Policy 36(2): 175–210.

    Article  Google Scholar 

  • Grosskopf S, Hayes K, Taylor LL and Weber WL (1997). Budget-constrained frontier measures of fiscal equality and efficiency in schooling. The Review of Economics and Statistics 79(1): 116–124.

    Article  Google Scholar 

  • Grosskopf S, Hayes K, Taylor LL and Weber WL (1999). Anticipating the consequences of school reform: A new use of DEA. Management Science 45(4): 608–620.

    Article  Google Scholar 

  • Grosskopf S, Hayes K, Taylor LL and Weber WL (2001). On the determinants of school district efficiency: Competition and monitoring. Journal of Urban Economics 49(3): 453–478.

    Article  Google Scholar 

  • Grosskopf S and Moutray C (2001). Evaluating performance in Chicago public high schools in the wake of decentralization. Economics of Education Review 20(1): 1–14.

    Article  Google Scholar 

  • Haelermans C and Blank JLT (2012). Is a schools’ performance related to technical change? A study on the relationship between innovations and secondary school productivity. Computers & Education 59(3): 884–892.

    Article  Google Scholar 

  • Haelermans C and De Witte K (2012). The role of innovations in secondary school performance—Evidence from a conditional efficiency model. European Journal of Operational Research 223(2): 541–549.

    Article  Google Scholar 

  • Haelermans C, De Witte K and Blank JLT (2012). On the allocation of resources for secondary schools. Economics of Education Review 31(5): 575–586.

    Article  Google Scholar 

  • Haelermans C and Ruggiero J (2013). Estimating technical and allocative efficiency in the public sector: A nonparametric analysis of Dutch schools. European Journal of Operational Research 227(1): 174–181.

    Article  Google Scholar 

  • Haksever C and Muragishi Y (1998). Measuring value in MBA programmes. Education Economics 6(1): 11–25.

    Article  Google Scholar 

  • Hanushek EA (1997). Assessing the effects of school resources on student performance: an update. Educational Evaluation and Policy Analysis 19(2): 141–64.

    Article  Google Scholar 

  • Hanushek EA (2003). The failure of input based schooling policies. The Economic Journal 113(485): F64–F98.

    Article  Google Scholar 

  • Hanushek EA and Luque JA (2003). Efficiency and equity in schools around the world. Economics of Education Review 22(5): 481–502.

    Article  Google Scholar 

  • Heshmati A and Kumbhakar SC (1997). Efficiency of the primary and secondary schools in Sweden. Scandinavian Journal of Educational Research 41(1): 33–51.

    Article  Google Scholar 

  • Houck EA, Rolle RA and He J (2010). Examining school district efficiency in Georgia. Journal of Education Finance 35(4): 331–357.

    Article  Google Scholar 

  • Hu Y, Zhang Z and Liang W (2009). Efficiency of primary schools in Beijing, China: An evaluation by data envelopment analysis. International Journal of Educational Management 23(1): 34–50.

    Google Scholar 

  • Izadi H, Johnes G, Oskrochi R and Crouchley R (2002). Stochastic frontier estimation of a CES cost function: The case of higher education in Britain. Economics of Education Review 21(1): 63–71.

    Article  Google Scholar 

  • Jesson D, Mayston D and Smith P (1987). Performance assessment in the education sector: Educational and economic perspectives. Oxford Review of Education 13(3): 249–266.

    Article  Google Scholar 

  • Jiménez E and Paqueo V (1996). Do local contributions affect the efficiency of public primary schools? Economics of Education Review 15(4): 377–386.

    Article  Google Scholar 

  • Johnes G (2013). Efficiency in English higher education institutions revisited: A network approach. Economics Bulletin 33(4): 2698–2706.

    Google Scholar 

  • Johnes G and Johnes J (1993). Measuring the research performance of UK economics departments: An application of data envelopment analysis. Oxford Economic Papers 45(2): 332–347.

    Article  Google Scholar 

  • Johnes G and Johnes J (2009). Higher education institutions’ costs and efficiency: Taking the decomposition a further step. Economics of Education Review 28(1): 107–113.

    Article  Google Scholar 

  • Johnes G, Johnes J and Thanassoulis E (2008). An analysis of costs in institutions of higher education in England. Studies on Higher Education 33(5): 527–549.

    Article  Google Scholar 

  • Johnes G and Schwarzenberger A (2011). Differences in cost structure and the evaluation of efficiency: The case of German universities. Education Economics 19(5): 487–499.

    Article  Google Scholar 

  • Johnes J (1996). Performance assessment in higher education in Britain. European Journal of Operational Research 89(1–2): 18–33.

    Article  Google Scholar 

  • Johnes J (2004). Efficiency measurement. In: Johnes G and Johnes J (ed). The International Handbook on the Economics of Education. Edward Elgar: Cheltenham, pp 613–742.

    Google Scholar 

  • Johnes J (2006a). Data envelopment analysis and its application to the measurement of efficiency in higher education. Economics of Education Review 25(3): 273–288.

    Article  Google Scholar 

  • Johnes J (2006b). Measuring efficiency: A comparison of multilevel modelling and data envelopment analysis in the context of higher education. Bulleting of Economic Research 58(2): 75–104.

    Article  Google Scholar 

  • Johnes J (2006c). Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK universities 1993. European Journal of Operational Research 174(1): 443–456.

    Article  Google Scholar 

  • Johnes J (2008). Efficiency and productivity change in the English higher education sector from 1996/97 to 2004/5. The Manchester School 76(6): 653–674.

    Article  Google Scholar 

  • Johnes J (2014). Efficiency and mergers in English higher education 1996/97 to 2008/09: Parametric and non-parametric estimation of the multi-input multi-output distance function. The Manchester School 82(4): 465–487.

    Article  Google Scholar 

  • Johnes J (2015). Operational research in education. European Journal of Operational Research. 243(3): 683–696.

    Article  Google Scholar 

  • Johnes J, Bradley S and Little A (2012). Efficiency in the further education sector in England. Open Journal of Statistics 2(1): 131–140.

    Article  Google Scholar 

  • Johnes J and Johnes G (1995). Research funding and performance in U.K. university departments of economics: A frontier analysis. Economics of Education Review 14(3): 301–314.

    Article  Google Scholar 

  • Johnes J and Yu L (2008). Measuring the research performance of Chinese higher education institutions using data envelopment analysis. China Economic Review 19(4): 679–696.

    Article  Google Scholar 

  • Johnson AL and Ruggiero J (2014). Nonparametric measurement of productivity and efficiency in education. Annals of Operations Research 221(1): 197–210.

    Article  Google Scholar 

  • Joumady O and Ris C (2005). Performance in European higher education: A non-parametric production frontier approach. Education Economics 13(2): 189–205.

    Article  Google Scholar 

  • Kantabutra S (2009). Using a DEA management tool through a nonparametric approach: An examination of urban-rural effects on Thai school efficiency. International Journal of Education Policy and Leadership 4(2): 1–14.

    Google Scholar 

  • Kantabutra S and Tang JCS (2010). Efficiency analysis of public universities in Thailand. Tertiary Education and Management 16(1): 15–33.

    Article  Google Scholar 

  • Kao C and Hung HT (2008). Efficiency analysis of university departments: An empirical study. OMEGA, International Journal of Management Science 36(4): 653–664.

    Article  Google Scholar 

  • Kao C and Yang YC (1992). Evaluation of junior colleges of technology: The Taiwan case. European Journal of Operational Research 72(1): 43–51.

    Article  Google Scholar 

  • Katharaki M and Katharakis G (2010). A comparative assessment of Greek universities’ efficiency using quantitative analysis. International Journal of Educational Research 49(4–5): 115–128.

    Article  Google Scholar 

  • Kempkes G and Pohl C (2010). The efficiency of German universities—Some evidence from nonparametric and parametric methods. Applied Economics 42(16): 2063–2079.

    Article  Google Scholar 

  • Khalili M, Camanho AS, Portela MCAS and Alirezaee MR (2010). The measurement of relative efficiency using data envelopment analysis with assurance regions that link inputs and outputs. European Journal of Operational Research 203(3): 761–770.

    Article  Google Scholar 

  • Kiong PLN, Hoo LS, Yong HT and Mahdi R (2005). Evaluating school efficiency using data envelopment analysis. Social and Management Research Journal 2(1): 29–47.

    Google Scholar 

  • Kirjavainen T (2012). Efficiency of Finnish general upper secondary schools: An application of stochastic frontier analysis with panel data. Education Economics 20(4): 343–364.

    Article  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(4): 377–394.

    Article  Google Scholar 

  • Kocher MG, Luptàcik M and Sutter M (2006). Measuring productivity of research in economics. A cross-country study using DEA. Socio-economic Planning Sciences 40(4): 314–332.

    Article  Google Scholar 

  • Koksal G and Nalcaci B (2006). The relative efficiency of departments at a Turkish engineering college: A data envelopment analysis. Higher Education 51(2): 173–189.

    Article  Google Scholar 

  • Kong W-H and Fu T-T (2012). Assessing the performance of business colleges in Taiwan using data envelopment analysis and student based value-added performance indicators. OMEGA, International Journal of Management Science 40(5): 541–549.

    Article  Google Scholar 

  • Korhonen P, Tainio R and Wallenius J (2001). Value efficiency analysis of academic research. European Journal of Operational Research 130(1): 121–132.

    Article  Google Scholar 

  • Kounetas K, Anastasiou A, Mitropoulos P and Mitropoulos I (2011). Departmental efficiency differences within a Greek university: An application of a DEA and Tobit analysis. International Transactions in Operational Research 18(5): 545–559.

    Article  Google Scholar 

  • Krueger AB (2003). Economic considerations and class size. Economic Journal 113(485): F34–F63.

    Google Scholar 

  • Kuah CT and Wong KY (2011). Efficiency assessment of universities through data envelopment analysis. Procedia Computer Science 3: 499–506.

    Article  Google Scholar 

  • Kuo J-S and Ho Y-C (2008). The cost efficiency impact of the university operation fund on public universities in Taiwan. Economics of Education Review 27(5): 603–612.

    Article  Google Scholar 

  • Lara B, Mizala A and Repetto A (2011). The effectiveness of private voucher education? Educational Evaluation and Policy Analysis 33(2): 119–137.

    Article  Google Scholar 

  • Lee BL (2011). Efficiency of research performance of Australian universities: A reappraisal using a bootstrap truncated regression approach. Economic Analysis and Policy 41(3): 195–203.

    Article  Google Scholar 

  • Lenkeit J (2013). Effectiveness measures for cross-sectional studies: A comparison of value-added models and contextualised attainment models. School Effectiveness and School Improvement 24(1): 39–63.

    Article  Google Scholar 

  • Liu JS, Lu LYY, Lu WM and Lin BJY (2013). A survey of DEA applications. OMEGA, International Journal of Management Science 41(5): 893–902.

    Article  Google Scholar 

  • Lovell CAK (1993). Production frontiers and productive efficiency. In: Lovell CAK and Schmidt H (eds). The Measurement of Productive Efficiency: Techniques and Applications. Oxford University Press: New York.

    Google Scholar 

  • Lu Y-H and Chen K-H (2013). Appraising the cost efficiency of higher technological and vocational education institutions in Taiwan using the metafrontier cost-function model. Research in Higher Education 54(6): 627–663.

    Article  Google Scholar 

  • Mace J (1984). The economics of education: A revisionist’s view. Higher Education Review 16(3): 39–56.

    Google Scholar 

  • Madden G, Savage S and Kemp S (1997). Measuring public sector efficiency: A study of economics departments at Australian universities. Education Economics 5(2): 153–168.

    Article  Google Scholar 

  • Mainardes E, Alves H and Raposo M (2014). Using expectations and satisfaction to measure the frontiers of efficiency in public universities. Tertiary Education and Management 20(4): 339–353.

    Article  Google Scholar 

  • Mancebón MJ and Bandrés E (1999). Efficiency evaluation in secondary schools: The key role of model specification and of ex post analysis of results. Education Economics 7(2): 131–152.

    Article  Google Scholar 

  • Mancebón MJ, Calero J, Choi Á and Ximénez-de-Embún DP (2012). The efficiency of public and publicly subsidized high schools in Spain: Evidence from PISA – 2006. Journal of the Operational Research Society 63(11): 1516–1533.

    Article  Google Scholar 

  • Mancebón MJ and Mar-Molinero CM (2000). Performance in primary schools. Journal of the Operational Research Society 51(7): 843–854.

    Article  Google Scholar 

  • Mancebón MJ and Muñiz MA (2008). Private versus public high schools in Spain: Disentangling managerial and programme efficiencies. Journal of the Operational Research Society 59(7): 892–901.

    Article  Google Scholar 

  • Mar-Molinero C (1996). On the joint determination of efficiencies in a data envelopment analysis context. Journal of the Operational Research Society 47(10): 1273–1279.

    Article  Google Scholar 

  • Mayston DJ (1996). Educational attainment and resource use: Mystery or econometric misspecification? Education Economics 4(2): 127–142.

    Article  Google Scholar 

  • Mayston DJ (2003). Measuring and managing educational performance. Journal of the Operational Research Society 54(7): 679–691.

    Article  Google Scholar 

  • Mayston DJ (2014). Effectiveness analysis of quality achievements for university departments of economics. Applied Economics 46(31): 3788–3797.

    Article  Google Scholar 

  • Mayston DJ (2015). Analysing the effectiveness of public service producers with endogenous resourcing. Journal of Productivity Analysis 44(1): 115–126.

    Article  Google Scholar 

  • Mayston DJ and Jesson D (1988). Developing models of educational accountability. Oxford Review of Education 14(3): 321–339.

    Article  Google Scholar 

  • McCarty TA and Yaisawarng S (1993). Technical efficiency in New Jersey school districts. In: Fried HO, Lovell CAK and Schmidt SS (eds). The Measurement of Productive Efficiency. Oxford University Press: New York.

    Google Scholar 

  • McEwan PJ and Carnoy M (2000). The effectiveness and efficiency of private schools in Chile’s voucher system. Educational Evaluation and Policy Analysis 22(3): 213–239.

    Article  Google Scholar 

  • McMillan ML and Chan WH (2006). University efficiency: A comparison and consolidation of results from stochastic and non-stochastic methods. Education Economics 14(1): 1–30.

    Article  Google Scholar 

  • McMillan ML and Datta D (1998). The relative efficiencies of Canadian universities: A DEA perspective. Canadian Public Policy 24(4): 485–511.

    Article  Google Scholar 

  • Meeusen W and van den Broeck J (1977). Efficiency estimation from Cobb-Douglas production functions with composed error. International Economic Review 18(2): 435–444.

    Article  Google Scholar 

  • Millimet DL and Collier T (2008). Efficiency in public schools: Does competition matter? Journal of Econometrics 145(1): 134–157.

    Article  Google Scholar 

  • Misra K, Grimes PW and Rogers KE (2012). Does competition improve public school efficiency? A spatial analysis. Economics of Education Review 31(6): 1177–1190.

    Article  Google Scholar 

  • Mizala A, Romaguera P and Farren D (2002). The technical efficiency of schools in Chile. Applied Economics 34(12): 1533–1552.

    Article  Google Scholar 

  • Mizala A and Torche F (2012). Bringing the schools back in: The stratification of educational achievement in the Chilean voucher system? International Journal of Educational Development 32(1): 132–144.

    Article  Google Scholar 

  • Mongan CJ, Santín D and Valino A (2011). Towards the equality of educational opportunity in the province of Buenos Aires. Journal of Policy Modelling 33(4): 583–596.

    Article  Google Scholar 

  • Montoneri B, Lin TT, Lee C-C and Huang S-L (2012). Application of data envelopment analysis on the indicators contributing to learning and teaching performance. Teaching and Teacher Education: An International Journal of Research and Studies 28(3): 382–395.

    Article  Google Scholar 

  • Moreno AA and Tadepali R (2002). Assessing academic department efficiency at a public university. Managerial and Decision Economics 23(7): 385–397.

    Article  Google Scholar 

  • Mortimore P (1991). School effectiveness research: Which way at the crossroads? School Effectiveness and School Improvement 2(3): 213–229.

    Article  Google Scholar 

  • Muñiz MA (2002). Separating managerial inefficiency and external conditions in data envelopment analysis. European Journal of Operational Research 143(3): 625–643.

    Article  Google Scholar 

  • Naper LR (2010). Teacher hiring practices and educational efficiency. Economics of Education Review 29(4): 658–668.

    Article  Google Scholar 

  • Nazarko J and Saparauskas J (2014). Application of DEA method in efficiency evaluation of public higher education institutions. Technological and Economic development of Economy 20(1): 25–44.

    Article  Google Scholar 

  • OECD (2006). Higher education: Quality, equity and efficiency. In: Lafon V (ed). Programme on Institutional Management in Higher Education. OECD Publishing: France.

  • OECD (2013). Education at a glance. OECD Indicators. OECD Publishing. http://dx.doi.org/10.1787/eag-2013-en.

  • Oliveira MA and Santos C (2005). Assessing school efficiency in Portugal using FDH and bootstrapping. Applied Economics 37(8): 957–968.

    Article  Google Scholar 

  • Ouellette P and Vierstraete V (2005). An evaluation of the efficiency of Québec’s school boards using the data envelopment analysis method. Applied Economics 37(14): 1643–1653.

    Article  Google Scholar 

  • Ouellette P and Vierstraete V (2010). Malmquist indexes with quasi-fixed inputs: An application to school districts in Québec. Annals of Operations Research 173(1): 57–76.

    Article  Google Scholar 

  • Perelman S and Santín D (2011a). Measuring educational efficiency at student level with parametric stochastic distance functions: An application to Spanish PISA results. Education Economics 19(1): 29–49.

    Article  Google Scholar 

  • Perelman S and Santín D (2011b). Imposing monotonicity on outputs in parametric distance function estimations. Applied Economics 43(30): 4651–4661.

    Article  Google Scholar 

  • Podinovski VV, Ismail I, Bouzdine-Chameeva T and Zhang W (2014). Combining the assumptions of variable and constant returns to scale in the efficiency evaluation of secondary schools. European Journal of Operational Research 239(2): 504–513.

    Article  Google Scholar 

  • Portela MCAS and Camanho AS (2010). Analysis of complementary methodologies for the estimation of school value added. Journal of the Operational Research Society 61(7): 1122–1132.

    Article  Google Scholar 

  • Portela MCAS, Camanho AS and Borges D (2012). Performance assessment of secondary schools: The snapshot of a country taken by DEA. Journal of the Operational Research Society 63(8): 1098–1115.

    Article  Google Scholar 

  • Portela MCAS, Camanho AS and Keshvari A (2013). Assessing the evolution of school performance and value-added: Trends over four years. Journal of Productivity Analysis 39(1): 1–14.

    Article  Google Scholar 

  • Portela MCAS and Thanassoulis E (2001). Decomposing school and school-type efficiency. Journal of Productivity Analysis 132(2): 357–373.

    Google Scholar 

  • Powell BA, Gilleland DS and Pearson LC (2012). Expenditures, efficiency, and effectiveness in U.S. undergraduate higher education: A national benchmark model. The Journal of Higher Education 83(1): 102–127.

    Article  Google Scholar 

  • Primont DF and Domazlicky B (2006). Student achievement and efficiency in Missouri schools and the No Child Left Behind Act. Economics of Education Review 25(1): 77–90.

    Article  Google Scholar 

  • Psacharopoulos G (1996). Economics of education: A research agenda. Economics of Education Review 15(4): 339–344.

    Article  Google Scholar 

  • Rassouli-Currier S (2007). Assessing the efficiency of Oklahoma public schools: A data envelopment analysis. Southwestern Economic Review 34(1): 131–144.

    Google Scholar 

  • Ray SC (1991). Resource-use efficiency in public schools: A study of Connecticut data. Management Science 37(12): 1620–1628.

    Article  Google Scholar 

  • Ray SC and Jeon Y (2008). Reputation and efficiency: A non-parametric assessment of America’s top-rated MBA programs. European Journal of Operational Research 189(1): 245–268.

    Article  Google Scholar 

  • Ray SC and Mukherjee K (1998). Quantity, quality, and efficiency for a partially super-additive cost function: Connecticut public schools revisited. Journal of Productivity Analysis 10(1): 47–62.

    Article  Google Scholar 

  • Rayeni MM and Saljooghi FH (2010). Network data envelopment analysis model for estimating efficiency and productivity in universities. Journal of Computer Science 6(11): 1252–1257.

    Article  Google Scholar 

  • Reynolds D (2010). Failure Free Education? The Past, Present and Future of School Effectiveness and School Improvement. Routledge: London.

    Google Scholar 

  • Reynolds D, Creemers BPM, Stringfield S, Teddlie C, Schaffer E and Nesselrodt PS (1994). Advances in School Effectiveness Research and Practice. Pergamon Press: Oxford.

    Google Scholar 

  • Robst J (2001). Cost efficiency in public higher education institutions. The Journal of Higher Education 72(6): 730–750.

    Article  Google Scholar 

  • Ruggiero J (1996a). On the measurement of technical efficiency in the public sector. European Journal of Operational Research 90(3): 553–565.

    Article  Google Scholar 

  • Ruggiero J (1996b). Efficiency of educational production: An analysis of New York school districts. Review of Economics and Statistics 78(3): 499–509.

    Article  Google Scholar 

  • Ruggiero J (1999). Nonparametric analysis of educational costs. European Journal of Operational Research 119(3): 605–612.

    Article  Google Scholar 

  • Ruggiero J (2000). Nonparametric estimation of returns to scale in the public sector with an application to the provision of educational services. Journal of the Operational Research Society 51(8): 906–912.

    Article  Google Scholar 

  • Ruggiero J (2004). Performance evaluation when non-discretionary factors correlate with technical efficiency. European Journal of Operational Research 159(1): 250–257.

    Article  Google Scholar 

  • Ruggiero J (2005). Impact assessment of input omission on DEA. International Journal of Information Technology & Decision Making 4(03): 359–368.

    Article  Google Scholar 

  • Ruggiero J (2007). Measuring the cost of meeting minimum educational standards: An application of data envelopment analysis. Education Economics 15(1): 1–13.

    Article  Google Scholar 

  • Ruggiero J and Bretschneider S (1998). The weighted Russell measure of technical efficiency. European Journal of Operational Research 108(2): 438–451.

    Article  Google Scholar 

  • Ruggiero J, Duncombe W and Miner J (1995). On the measurement and causes of technical inefficiency in local public services: With an application to public education. Journal of Public Administration Research and Theory 5(4): 403–428.

    Google Scholar 

  • Ruggiero J and Vitaliano DF (1999). Assessing the efficiency of public schools using data envelopment analysis and frontier regression. Contemporary Economic Policy 17(3): 321–331.

    Article  Google Scholar 

  • Santín D and Sicilia G (2014). The Teacher Effect: An Efficiency Analysis from a Natural Experiment in Spanish Primary Schools. Workshop on Efficiency in Education. Lancaster University Management School: London: 19–20 September 2014.

    Google Scholar 

  • Sarrico CS and Dyson RG (2000). Using DEA for planning in UK universities. Journal of the Operational Research Society 51(7): 789–800.

    Google Scholar 

  • Sarrico CS, Rosa M and Coelho I (2010). The performance of Portuguese secondary schools: An exploratory study. Quality Assurance in Education 18(4): 286–303.

    Article  Google Scholar 

  • Sarrico CS and Rosa MJ (2009). Measuring and comparing the performance of Portuguese secondary schools: A confrontation between metric and practice benchmarking. International Journal of Productivity and Performance Management 58(8): 767–786.

    Article  Google Scholar 

  • Sengupta JK (1987). Production frontier estimation to measure efficiency: A critical evaluation in light of data envelopment analysis. Managerial and Decision Economics 8(2): 93–99.

    Article  Google Scholar 

  • Sengupta JK and Sfeir RE (1986). Production frontier estimates of scale in public schools in California. Economics of Education Review 5(3): 297–307.

    Article  Google Scholar 

  • Sengupta JK and Sfeir RE (1988). Efficiency measurement by data envelopment analysis with econometric applications. Applied Economics 20(3): 285–293.

    Article  Google Scholar 

  • Sexton TR, Comunale CL and Gara SC (2012). Efficiency-based funding for public four-year colleges and universities. Education Finance and Policy 7(3): 331–359.

    Article  Google Scholar 

  • Simar L and Wilson PW (2007). Estimation and inference in two-stage, semi-parametric models of production processes. Journal of Econometrics 136(1): 31–64.

    Article  Google Scholar 

  • Sinuany-Stern Z, Mehrez A and Barboy A (1994). Academic departments efficiency via DEA. Computers & Operations Research 21(5): 543–556.

    Article  Google Scholar 

  • Smith P and Mayston D (1987). Measuring efficiency in the public sector. OMEGA, International Journal of Management Science 15(3): 191–189.

    Article  Google Scholar 

  • Stevens PA (2005). A stochastic frontier analysis of English and Welsh universities. Education Economics 13(4): 355–374.

    Article  Google Scholar 

  • Tauer LW, Fried HO and Fry WE (2007). Measuring efficiencies of academic departments within a college. Education Economics 15(4): 473–489.

    Article  Google Scholar 

  • Taylor J and Johnes J (1989). An evaluation of performance indicators based upon the first destination of university graduates. Studies in Higher Education 14(2): 201–217.

    Article  Google Scholar 

  • Teddlie C (2010). The legacy of the school effectiveness research tradition. In: Hargreaves A, Lieberman A, Fullan M and Hopkins D (eds). The Second International Handbook of Educational Change. Springer Science & Business Media: Netherlands.

    Google Scholar 

  • Teddlie C and Reynolds D (2000). The International Handbook of School Effectiveness Research. Falmer Press: London and New York.

    Google Scholar 

  • Thanassoulis E (1996). Altering the bias in differential school effectiveness using data envelopment analysis. Journal of the Operational Research Society 4(7): 882–894.

    Article  Google Scholar 

  • Thanassoulis E (1999). Setting achievements targets for school children. Education Economics 7(2): 101–119.

    Article  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 authority. Journal of the Operational Research Society 45(11): 1247–1262.

    Article  Google Scholar 

  • Thanassoulis E, Kortelainen M, Johnes G and Johnes J (2011). Costs and efficiency of higher education institutions in England: A DEA analysis. Journal of the Operational Research Society 62(7): 1282–1297.

    Article  Google Scholar 

  • Thanassoulis E and Portela MCAS (2002). School outcomes: Sharing the responsibility between pupil and school? Education Economics 10(2): 183–207.

    Article  Google Scholar 

  • Thieme C, Giménez V and Prior D (2012). A comparative analysis of the efficiency of national education systems. Asia Pacific Education Review 13(1): 1–15.

    Article  Google Scholar 

  • Thieme C, Prior D and Tortosa-Ausina E (2013). A multilevel decomposition of school performance using robust nonparametric frontier techniques. Economics of Education Review 32(1): 104–121.

    Article  Google Scholar 

  • Thursby JG (2000). What do we say about ourselves and what does it mean? Yet another look at economics department research. Journal of Economic Literature 38(2): 383–404.

    Article  Google Scholar 

  • Timmermans AC, Doolaard S and de Wolf I (2011). Conceptual and empirical differences among various value-added models for accountability. School Effectiveness and School Improvement 22(4): 393–413.

    Article  Google Scholar 

  • Titus MA (2006). Understanding college degree completion of students with low socioeconomic status: The influence of the institutional financial context. Research in Higher Education 47(4): 371–398.

    Article  Google Scholar 

  • Tochkov K, Nenovsky N and Tochkov K (2012). University efficiency and public funding for higher education in Bulgaria. Post-communist Economies 24(4): 517–534.

    Article  Google Scholar 

  • Tsionas EG (2002). Stochastic frontier models with random coefficients. Journal of Applied Econometrics 17(2): 127–147.

    Article  Google Scholar 

  • Tyagi P, Yadav SP and Singh SP (2009). Relative performance of academic departments using DEA with sensitivity analysis. Evaluation and Program Planning 32(2): 168–177.

    Article  Google Scholar 

  • Van Klaveren C and De Witte K (2014). How are teachers teaching? A nonparametric approach. Education Economics 22(1): 3–23.

    Article  Google Scholar 

  • Waldo S (2007a). On the use of student data in efficiency analysis—Technical efficiency in Swedish upper secondary school. Economics of Education Review 26(2): 173–185.

    Article  Google Scholar 

  • Waldo S (2007b). Efficiency in Swedish public education: Competition and voter monitoring. Education Economics 15(2): 231–251.

    Article  Google Scholar 

  • Wang S (2003). Adaptive non-parametric efficiency frontier analysis: A neural-network-based model. Computers & Operations Research 30(2): 279–295.

    Article  Google Scholar 

  • Wolszczak-Derlacz J and Parteka A (2011). Efficiency of European public higher education institutions: A two-stage multicountry approach. Scientometrics 89(3): 887–917.

    Article  Google Scholar 

  • Worthington AC (2001). An empirical survey of frontier efficiency measurement techniques in education. Education Economics 9(3): 245–268.

    Article  Google Scholar 

  • Worthington AC and Lee BL (2008). Efficiency, technology and productivity change in Australian universities, 1998–2003. Economics of Education Review 27(3): 285–298.

    Article  Google Scholar 

  • Ying CN and Sung KL (2000). Measuring the research performance of Chinese higher education institutions: An application of data envelopment analysis. Education Economics 8(2): 139–156.

    Article  Google Scholar 

  • Zoghbi AC, Rocha F and Mattos E (2013). Education production efficiency: Evidence from Brazilian universities. Economic Modelling 31(1): 94–103.

    Article  Google Scholar 

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Acknowledgements

We thank participants of the Workshop on Efficiency in Education of Lancaster University, Wim Groot, Carla Haelermans, Sergio Perelman, Emmanuel Thanassoulis, Geraint Johnes, Jill Johnes, Maria Portela, Eline Sneyers, John Ruggiero, Tommaso Aggastisti, two anonymous referees and the associate editor for valuable comments and suggestions on an earlier draft.

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  1. Maastricht University, Maastricht, The Netherlands

    Kristof De Witte

  2. Katholieke Universiteit Leuven (KU Leuven), Leuven, Belgium

    Kristof De Witte

  3. Universitat Autònoma de Barcelona, Barcelona, Spain

    Laura López-Torres

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Witte, K., López-Torres, L. Efficiency in education: a review of literature and a way forward. J Oper Res Soc 68, 339–363 (2017). https://doi.org/10.1057/jors.2015.92

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