The efficiency of German universities - some evidence from nonparametric and parametric methods

Applied Economics

Volumn 42, Issue 16, 2010, Pages 2063-2079

  Kempkes, Gerhard ^a   Pohl, Carsten ^b  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

^b IFO INSTITUTE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ENVELOPMENT ANALYSIS; HIGHER EDUCATION; PUBLIC SECTOR; STOCHASTICITY; TOTAL FACTOR PRODUCTIVITY; UNIVERSITY SECTOR;

GERMANY;

EID: 77954252876     PISSN: 00036846     EISSN: 14664283     Source Type: Journal    
DOI: 10.1080/00036840701765361     Document Type: Article

References (25)

1. Abbott, M. and Doucouliagos, C. (2003) The efficiency of Australian universities: a data envelopment analysis, Economics of Education Review, 22, 89-97.
2. Athanassapoulos, A. and Shale, E. (1997) Assessing the comparative efficiency of higher education institutions in the UK by means of data envelopment analysis, Education Economics, 5, 117-34.
3. Banker, R., Cooper, W., Seiford, L., Thrall, R. and Zhu, J. (2004) Returns to scale in different DEA models, European Journal of Operational Research, 154, 345-62.
4. Battese, G. and Coelli, T. (1992) Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India, Journal of Productivity Analysis, 3, 153-69.
5. Battese, G. and Coelli, T. (1995) A model for technical inefficiency effects in a stochastic frontier production function for panel data, Empirical Economics, 20, 325-32.
6. BBR (2006) Inkar pro CD ROM, Bundesamt fur Bauwesen und Raumordnung, Bonn.
7. Beasley, J. (1997) Determining teaching and research efficiencies, Journal of the Operational Research Society, 1111, 441-52.
8. Berndt, E. (1991) The Practice of Econometrics. Classic and Contemporary, Addison-Wesley Publishing Company, Reading, MA, pp. 465-7.
9. Coelli, T. (1996) A guide to frontier version 4.1: a computer program for stochastic frontier production and cost function estimation, CEPA Working Paper No. 96/07, University of New England, Australia.
10. Coelli, T., Perelman, S. and Romano, E. (1999) Accounting for environmental influences in stochastic frontier models: with application to international airlines, Journal of Productivity Analysis, 11, 251-73.
11. Coelli, T., Rao, D. P., O'Donnell, C. and Battese, G. (2005) An Introduction to Efficiency and Productivity Analysis, Springer Science and Business Media, New York, pp. 291-3.
12. Flegg, A., Allen, D., Field, K. and Thurlow, T. (2004) Measuring the efficiency of British universities: a multi-period data envelopment analysis, Education Economics, 12, 231.
13. German Council of Economic Experts (2005) External Successes - Internal Challenges, German Council of Economic Experts, Annual Report 2004/2005, Wiesbaden.
14. 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, 63-71.
15. Johnes, G. (1997) Costs and industrial structure in contemporary British higher education, Economic Journal, 107, 727-37.
16. Johnes, J. and Johnes, G. (1995) Research funding and performance in UK university departments of economics: a frontier analysis, Economics of Education Review, 14, 301-14.
17. Koshal, R. and Koshal, M. (1999) Economics of scale and scope in higher education: a case of comprehensive universities, Economics of Education Review, 18, 270-7.
18. Kraus, M. (2004) Schätzung von Kostenfunktionen für die bundesdeutsche Hochschulausbildung: Ein konzeptioneller Ansatz im empirischen Test, ZEW Discussion Paper No. 4/36, Mannheim.
19. Kultusministerkonferenz (2005) Prognose der Studienanfanger, Studierenden und Hochschulabsolventen bis 2020, Bonn.
20. Madden, G. and Savage, S. (1997) Measuring public sector efficiency: a study of economics departments at Australian universities, Education Economics, 5, 153-68.
21. Simar, L. and Wilson, P. (2007) Estimation and inference in two-stage, semi-parametric models of production processes, Journal of Econometrics, 136, 31-64.
22. Stevens, P. (2005) A stochastic frontier analysis of English and Welsh universities, Education Economics, 13, 355-74.
23. Warning, S. (2004) Performance differences in German higher education: empirical analysis of strategic group, Review of Industrial Organization, 24, 393-408.
24. Warning, S. (2005) Effizienz deutscher Hochschulen: gibt es regionale Unterschiede?, in Bildungsökonomische Analyse mit Mikrodaten (Eds) L. Bellmann and D. Sadowski, Institut für Arbeitsmarkt und Berufsforschung (IAB), Nürnberg, pp. 65-81.
25. Worthington, A. (2001) An empirical survey of frontier efficiency measurement techniques in education, Education Economics, 9, 245-368.