Erratum: Graduation rates and accountability: Regressions versus production frontiers (Res High Edue (2007) DOI: 10.1007/s11162-007-9063-6);Graduation rates and accountability: Regressions versus production frontiers

Research in Higher Education

Volumn 49, Issue 1, 2008, Pages 80-100

  Archibald, Robert B ^a   Feldman, David H ^a  

^a The College of William and Mary   (United States)

Author keywords

College costs; Economies of scale; Efficiency; Graduation rates; Production frontier

Indexed keywords

EID: 37649020427     PISSN: 03610365     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11162-007-9065-4     Document Type: Erratum

References (20)

1. Andersen, P., & Petersen, N. C. (1993). A procedure for ranking efficient units in data envelopment analysis. Management Science, 39, 1261-1264.
2. Astin, Alexander W. (1993). College retention rates are often misleading. The Chronicle of Higher Education, September 22, A48.
3. Astin, Andrew W. (1997). How "Good" is your institution's retention rate? Research in Higher Education, 38(6), 647-658.
4. Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092.
5. Boles, J. N. (1966). Efficiency squared - efficient computation of efficiency indexes. In Proceedings of the Thirty Ninth Annual Meeting of the Western Farm Economics Association, pp. 137-142.
6. Burke, Joseph C. (2002). Funding public colleges for performance. New York: Rockefeller Institute Press.
7. Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444.
8. Christal, Melodie E. (1998). State survey on performance measures: 1996-1997. Denver, Colorado: State Higher Education Officers.
9. Coelli, T. J. (1992). A computer program for frontier production function estimation; Frontier version 2.0. Economics Letters, 39(1), 29-32.
10. Coelli, T. J. (1996). A guide to DEAP version 2.1: A data envelopment analysis computer program.
11. Färe, R., Grosskopf, S., & Knox Lovell, C. A. (1994). Production frontiers. Cambridge: Cambridge University Press.
12. Ferrier, G. D., & Lovell, C. A. K. (1990). Measuring cost efficiency in banking: Econometric and linear programming evidence. In A.Y. Lewin & C. A. K. Lovell (Eds.), Frontier analysis: Parametric and nonparametric Approaches. Journal of Econometrics, 46(1/2), 229-245.
13. Johnes, Jill (2006). Data envelopment analysis and its application to the measurement of efficiency in higher education. Economics of Education Review, 25(3), 273-288.
14. Mangold, William D., Bean, Luann, & Adams, Douglas (2003). The impact of intercollegiate athletics on graduation rates among major NCAA division I universities. Journal of Higher Education, 74(5), 540-562.
15. Manski, Charles, & Wise, David (1983). College choice in America. Cambridge: Harvard University Press.
16. Pindyck, R. S., & Rubinfeld, D. L. (1991). Econometric models & economic forecasts (3rd ed.). New York: McGraw-Hill.
17. Thanassoulis, E. (1993). A comparison of regression analysis and data envelopment analysis as alternative methods for performance assessments. Journal of the Operations Research Society, 44, 1129-1144.
18. Winston, Gordon C., & Yen, Ivan C. (1995). Costs, prices, subsidies, and aid in U.S. higher education. Discussion Paper No. 32, Williams Project on the Economics of Higher Education.
19. US News and World Report, America's best colleges, various issues.
20. U.S. Department of Education. Integrated Postsecondary Education Data System (IPEDS), http://www.nces.ed.gov/ipeds.