On the use of student data in efficiency analysis-Technical efficiency in Swedish upper secondary school

Economics of Education Review

Volumn 26, Issue 2, 2007, Pages 173-185

  Waldo, Staffan ^a  

^a LUND UNIVERSITY   (Sweden)

Author keywords

Efficiency; Input output analysis

Indexed keywords

EDUCATION; EFFICIENCY MEASUREMENT; EMPIRICAL ANALYSIS; INPUT-OUTPUT ANALYSIS; SECONDARY EDUCATION; STUDENT; TECHNICAL EFFICIENCY;

EURASIA; EUROPE; NORTHERN EUROPE; SCANDINAVIA; SWEDEN;

EID: 33947148659     PISSN: 02727757     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.econedurev.2005.06.005     Document Type: Article

References (18)

1. Banker R.D., and Morey R. Efficiency analysis for exogenously fixed inputs and outputs. Operations Research 34 (1986) 513-521
2. Färe R., and Grosskopf S. New directions: Efficiency and productivity (2003), Kluwer Academic Press, Dordrecht
3. Färe, R., Grosskopf, S., & Zelenyuk, V. (2002). Aggregation of cost efficiency indicators and indexes across firms. R.R. Institute of Applied Economics Scientific Report 2002:1.
4. Farrell M. The measurement of productive efficiency. Journal of the Royal Statistical Society (1957) 253-281
5. Grosskopf S., and Moutray C. Evaluating performance in Chicago high schools in the wake of decentralization. Economics of Education Review 20 (2001) 1-14
6. Hanushek E. The economics of schooling: Production and efficiency in public schools. Journal of Economic Literature XXIV 3 (1986) 1141-1177
7. Hedges L., and Greenwald R. Have times changed? The relation between school resources and student performance. In: Burtless G. (Ed). Does money matter?-The effects of school resources on student performance and adult success (1996), The Brookings Institution 4-92
8. Jakobsson, A.-K. (2000). Motivation och inlärning ur genusperspektiv: En studie av gymnasieelever på teoretiska linjer/programme. Göteborg Studies in Educational Sciences (Vol. 146).
9. Kirjavainen T., and Loikkanen H. Efficiency differences of Finnish senior secondary schools: An application of data envelopment analysis and Tobit analysis. Economics of Education Review 17 (1998) 377-394
10. Löfbom, E. (2001). Betyg på skolan-En ESO rapport om gymnasieskolorna. Stockholm DS 2001:24.
11. Lovell K., Walters L., and Wood L. Stratified models of education production using modified DEA and regression analysis. In: Charnes A., Cooper W., Lewin A., and Seiford L. (Eds). Data envelopment analysis: Theory, methodology and applications (1994), Kluwer Academic Publishers, Dordrecht
12. Maynard R., and Kelsey M. Public school partnerships: Community, family and school factors in determining child outcomes. In: Hanushek E., and Jorgenson D. (Eds). Improving Americas schools-The role of incentives (1996), National Academy Press, Washington, DC 147-170
13. Mincer J. Schooling, experience, and earnings (1974), National Bureau of Economic Research, Columbia University Press, New York
14. Muñiz M.A. Separating managerial inefficiency and external conditions in data envelopment analysis. European Journal of Operational Research 143 (2002) 625-643
15. Ruggiero J. On the measurement of technical efficiency in the public sector. European Journal of Operational Research 90 (1996) 553-565
16. Ruggiero J. Performance evaluation in education. In: Cooper W.W., Seiford L., and Zhu J. (Eds). Handbook on data envelopment analysis (2004), Kluwer Academic Publishers, Dordrecht
17. Skolverket. (1999). Samband mellan resurser och resultat-En studie av landets grundskolor med elever i årskurs 9. Rapport No 170, Swedish National Agency for Education.
18. Thanassoulis E. Setting achievement targets for school children. Education Economics 7 (1999) 101-119