An estimation of technical efficiency for Florida public elementary schools

Economics of Education Review

Volumn 27, Issue 6, 2008, Pages 655-663

  Conroy, Stephen J ^a   Arguea, Nestor M ^b  

^a UNIVERSITY OF SAN DIEGO   (United States)

^b UNIVERSITY OF WEST FLORIDA   (United States)

Author keywords

Economics of education; Efficiency; Florida elementary schools; Frontier production function; Productivity; Technical efficiency

Indexed keywords

EDUCATION; ESTIMATION METHOD; POLICY IMPLEMENTATION; PRIMARY EDUCATION; TECHNICAL EFFICIENCY;

FLORIDA [UNITED STATES]; NORTH AMERICA; UNITED STATES;

EID: 55949134453     PISSN: 02727757     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.econedurev.2007.08.002     Document Type: Article

References (23)

1. Aigner D.J., Lovell C.A.K., and Schmidt P. Formulation and estimation of stochastic frontier production function models. Journal of Econometrics 6 (1977) 21-37
2. Alexander K.L., Entwisle D.R., and Dauber S.L. Children in motion: School transfers and elementary school performance. The Journal of Educational Research 90 1 (1996) 3-12
3. Arguea N.M., and Conroy S.J. The effect of parent involvement in parent teacher groups on student achievement. School Community Journal 13 2 (2003) 119-136
4. Coelli T.J. Estimators and hypothesis test for a stochastic frontier function: A Monte Carlo analysis. Journal of Productivity Analysis 6 4 (1995) 247-268
5. Cooper S.T., and Cohn E. Estimation of a frontier production function for the South Carolina educational process. Economics of Education Review 16 3 (1997) 313-327
6. Debreu G. The coefficient of resource utilization. Econometrica 19 3 (1951) 273-292
7. Farrell M. The measurement of productive efficiency. Journal of the Royal Statistical Society, Series A, General 120 Part 3 (1957) 253-281
8. Florida Department of Education (2000). 2000-2001 Funding for Florida school districts. Statistical Report, EIAS Series 2001-03, September.
9. Greene W.H. The econometric approach to efficiency analysis. In: Fried H.O., Lovell C.A.K., and Schmidt S.S. (Eds). The measurement of productive efficiency (1993), Oxford University Press, New York 68-119
10. Greene W.H. Frontier production functions. In: Hashem Pesaran M., and Schmidt P. (Eds). Handbook of applied econometrics: Microeconomics Vol. II (1997), Blackwell Publishers, Massachusetts
11. Hanushek E.A. The economics of schooling: Production and efficiency in public schools. Journal of Economic Literature 24 September (1986) 1141-1177
12. Hanushek E.A., Kain J.J., and Rivkin S.G. Disruption versus Tiebout improvement: The costs and benefits of switching schools. Journal of Public Economics 88 (2004) 1721-1746
13. Jondrow J., Lovell C.A.K., Meterov I.S., and Schmidt P. On the estimation of technical inefficiency in the stochastic frontier production function model. Journal of Econometrics 19 (1982) 233-238
14. Kerbow D. Patterns of urban student mobility and local school reform. Journal of Education for Students Placed at Risk 1 2 (1996) 147-169
15. Kumbhakar S.C., and Lovell C.A.K. Stochastic frontier analysis (2000), Cambridge University Press, New York
16. Lovell C.A.K. Production frontiers and productive efficiency. In: Fried H.O., Lovell C.A.K., and Schmidt S.S. (Eds). The measurement of productive efficiency (1993), Oxford University Press, New York 3-67
17. Mayer S.E. What money can't buy (1997), Harvard University Press, Cambridge, MA
18. Meeusen W., and van den Broeck J. Efficiency estimation from Cobb-Douglas production functions with composed error. International Economic Review 18 (1977) 435-444
19. Ruggiero J., and Vitaliano D.F. Assessing the efficiency of public schools using data envelopment analysis and frontier regression. Contemporary Economic Policy 17 3 (1999) 321-331
20. Rumberger R.W. The causes and consequences of student mobility. Journal of Negro Education 72 1 (2003) 6-21
21. Rumberger R.W., Larson K.A., Ream R.K., and Palardy G.J. The educational consequences of mobility for California students and schools (1999), Policy Analysis for California Education, Berkeley, CA
22. Simar, L., Lovell, C. A. K., & Vanden Eeckaut, P. (1994). Stochastic frontiers incorporating exogenous influences on efficiency. Discussion Paper No. 9403. Institut de Statistique, Universite Catholique de Louvain.
23. Wang H., and Schmidt P. One-step and two-step estimation of the effects of exogenous variables on technical efficiency levels. Journal of Productivity Analysis 18 (2003) 129-144