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

Applied Economics

Volumn 40, Issue 10, 2008, Pages 1323-1339

  Cordero Ferrera, Jose Manuel ^a   Pedraja Chaparro, Francisco ^a   Salinas Jimenez, Javier ^b  

^a UNIVERSITY OF EXTREMADURA   (Spain)

^b Instituto de Estudios Fiscales   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BOOTSTRAPPING; DATA ENVELOPMENT ANALYSIS; EDUCATION; EFFICIENCY MEASUREMENT; ESTIMATION METHOD; FACTOR ANALYSIS; STUDENT; UNIVERSITY SECTOR;

EID: 45949101530     PISSN: 00036846     EISSN: 14664283     Source Type: Journal    
DOI: 10.1080/00036840600771346     Document Type: Article

References (46)

1. Afonso, A. and St. Aubyn, M. (2005) Cross-country Efficiency of secondary education provision: A semi-parametric analysis with non-discretionary inputs
2. Banker, RD, Charnes, A. and Cooper, WW (1984) Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30, pp. 1078-1092.
3. Banker, RD and Morey, RC (1986) Efficiency analysis for exogenously fixed inputs and outputs. Operations Research, 34, pp. 513-521.
4. Barr, R. (2004) DEA software tools and technology: A state-of-the-art survey
5. Barro, R. (2001) Human capital and growth. American Economic Review, 91, pp. 12-17.
6. Bates, J. (1997) Measuring predetermined socioeconomic inputs when assessing the efficiency of educational outputs. Applied Economics, 29, pp. 85-93.
7. 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, pp. 1355-1367.
8. 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, pp. 889-905.
9. Chalos, P. (1997) An examination of budgetary inefficiency in education using data envelopment analysis. Financial Accountability and Management, 13, pp. 55-69.
10. Charnes, A., Cooper, WW and Rhodes, E. (1978) Measuring the efficiency of decision making units. European Journal of Operational Research, 2, pp. 429-444.
11. 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, pp. 668-697.
12. Coelli, T., Rao, DSP and Battese, G. (1998) An Introduction to Efficiency and Productivity Analysis
13. Coleman, JS et al. (1966) Equality of Education Opportunity, GPO, Washington, DC
14. Daraio, C. and Simar, L. (2005) Introducing environmental variables in nonparametric frontier models: A probabilistic approach. Journal of Productivity Analysis, 24, pp. 93-121.
15. Engert, F. (1996) The reporting of school district efficiency: The adequacy of ratio measures. Public Budgeting and Financial Management, 8, pp. 247-271.
16. Fried, HO and Lovell, CAK (1996) Searching for the Zeds
17. Fried, H., Schmidt, S. and Yaisawarng, S. (1999) Incorporating the operating environment into a nonparametric measure of technical efficiency. Journal of Productivity Analysis, 12, pp. 249-267.
18. 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, pp. 157-174.
19. 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, pp. 419-432.
20. Gonzalez, XM and Miles, D. (2002) Statistical precision of DEA: A bootstrap application to Spanish public services. Applied Economic Letters, 9, pp. 127-132.
21. Greene, W. (1980) Maximum likelihood estimation of econometric frontier functions. Journal of Econometrics, 13, pp. 26-57.
22. Hanushek, EA (1986) The economics of schooling: Production and efficiency in public schools. Journal of Economic Literature, 24, pp. 1141-1177.
23. Hanushek, E. and Kimko, D. (2000) Schooling, labour force quality, and economic growth. American Economic Review, 90, pp. 1184-1208.
24. Hollingsworth, B. and Smith, P. (2003) Use of ratios in data envelopment analysis. Applied Economics Letters, 10, pp. 733-735.
25. 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, pp. 377-394.
26. Lovell, CAK (1993) Production frontiers and productive efficiency, in The Measurement of Productive Efficiency: Techniques and Applications, Oxford University Press, New York
27. McCarty, T. and Yaisawarng, S. (1993) Technical efficiency in New Jersey School districts. The Measurement of Productive Efficiency: Techniques and Applications, pp. 271-287. Oxford University Press, New York
28. Mizala, A., Romanguera, P. and Farren, D. (2002) The technical efficiency of schools in Chile. Applied Economics, 30, pp. 1089-1100.
29. Muniz, M. (2002) Separating managerial inefficiency and external conditions in data. European Journal of Operational Research, 143, pp. 625-643.
30. Noulas, A. and Ketkar, K. (1998) Efficient utilization of resources in public shools: A case study of New Jersey. Applied Economics, 30, pp. 1299-1306.
31. Nunamaker, TR (1985) Using data envelopment analysis to measure the efficiency of non-profit organizations: A critical evaluation. Managerial and Decision Economics, 6, pp. 50-58.
32. Oliveira, MA and Santos, C. (2005) Assessing school efficiency in Portugal using FDH and bootstrapping. Applied Economics, 37, pp. 957-968.
33. Pastor, J. (1994) How to discount environmental effects in DEA: An application to bank branches
34. Pedraja, F. and Salinas, J. (1996) An assessment of the efficiency of Spanish courts using DEA. Applied Economics, 28, pp. 1391-1403.
35. Pritchett, L. and Filmer, D. (1999) What education production functions really show: A positive theory of education expenditures. Economic of Education Review, 18, pp. 223-239.
36. Ray, SC (1991) Resource use efficiency in public schools: A study of Connecticut data. Management Science, 37, p. 1.620.
37. Ruggiero, J. (1998) Non-discretionary inputs in data envelopment analysis. European Journal of Operational Research, 111, pp. 461-469.
38. Seiford, LM and Thrall, RM (1990) Recent developments in DEA: The matematical programming approach to frontier analysis. Journal of Econometrics, 46, pp. 7-38.
39. Simar, L. and Wilson, PW (1998) Sensitivity analysis of efficiency scores: How to bootstrap in nonparametric frontier models. Management Science, 44, pp. 49-61.
40. Simar, L. and Wilson, PW (2003) Estimation and inference in two-stage
41. Smith, P. and Mayston, D. (1987) Measuring efficiency in the public sector. OMEGA International Journal of Management Science, 15, pp. 181-189.
42. 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, pp. 1247-1262.
43. Thanassoulis, E. and Silva-Portela, MC (2002) School outcomes: Sharing the responsability between pupil and school. Education Economics, 10, pp. 183-207.
44. Worthington, AC and Dollery, BE (2002) Incorporating contextual information in public sector efficiency analyses: A comparative study of NSW local government. Applied Economics, 34, pp. 453-464.
45. Xue, M. and Harker, PT (1999) Overcoming the inherent dependency of DEA efficiency scores: A bootstrap Approach
46. Yu, C. (1998) The effects of exogenous variables in efficiency measurement: A Monte Carlo study. European Journal of Operational Research, 105, pp. 569-580.