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Reputation and Efficiency: A Nonparametric Assessment of America's Top-Rated MBA Programs

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Listed:
  • Subhash C. Ray

    (University of Connecticut)

  • Yongil Jeon

    (Central Michigan Universit)

Abstract

Widely publicized reports of fresh MBAs getting multiple job offers with six-figure annual salaries leave a long-lasting general impression about the high quality of selected business schools. While such spectacular achievement in job placement rightly deserves recognition, one should not lose sight of the resources expended in order to accomplish this result. In this study, we employ a measure of Pareto-Koopmans global efficiency to evaluate the efficiency levels of the MBA programs in Business Week's top-rated list. We compute input- and output-oriented radial and non-radial efficiency measures for comparison. Among three tier groups, the schools from a higher tier group on average are more efficient than those from lower tiers, although variations in efficiency levels do occur within the same tier, which exist over different measures of efficiency.

Suggested Citation

  • Subhash C. Ray & Yongil Jeon, 2003. "Reputation and Efficiency: A Nonparametric Assessment of America's Top-Rated MBA Programs," Working papers 2003-13, University of Connecticut, Department of Economics.
  • Handle: RePEc:uct:uconnp:2003-13
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    References listed on IDEAS

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    1. Johnes, Geraint & Johnes, Jill, 1993. "Measuring the Research Performance of UK Economics Departments: An Application of Data Envelopment Analysis," Oxford Economic Papers, Oxford University Press, vol. 45(2), pages 332-347, April.
    2. Tracy, Joseph & Waldfogel, Joel, 1997. "The Best Business Schools: A Market-Based Approach," The Journal of Business, University of Chicago Press, vol. 70(1), pages 1-31, January.
    3. Burton, M P & Phimister, Euan, 1995. "Core Journals: A Reappraisal of the Diamond List," Economic Journal, Royal Economic Society, vol. 105(429), pages 361-373, March.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Robert Russell, R., 1985. "Measures of technical efficiency," Journal of Economic Theory, Elsevier, vol. 35(1), pages 109-126, February.
    6. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
    7. Abbott, M. & Doucouliagos, C., 2003. "The efficiency of Australian universities: a data envelopment analysis," Economics of Education Review, Elsevier, vol. 22(1), pages 89-97, February.
    8. Pastor, J. T. & Ruiz, J. L. & Sirvent, I., 1999. "An enhanced DEA Russell graph efficiency measure," European Journal of Operational Research, Elsevier, vol. 115(3), pages 596-607, June.
    9. Melville L. McMillan & Debasish Datta, 1998. "The Relative Efficiencies of Canadian Universities: A DEA Perspective," Canadian Public Policy, University of Toronto Press, vol. 24(4), pages 485-511, December.
    10. William Cooper & Kyung Park & Jesus Pastor, 1999. "RAM: A Range Adjusted Measure of Inefficiency for Use with Additive Models, and Relations to Other Models and Measures in DEA," Journal of Productivity Analysis, Springer, vol. 11(1), pages 5-42, February.
    11. Zieschang, Kimberly D., 1984. "An extended farrell technical efficiency measure," Journal of Economic Theory, Elsevier, vol. 33(2), pages 387-396, August.
    12. Russell, R. Robert, 1985. "On the Axiomatic Approach to the Measurement of Technical Efficiency," Working Papers 85-33, C.V. Starr Center for Applied Economics, New York University.
    13. Breu, Theodore M. & Raab, Raymond L., 1994. "Efficiency and perceived quality of the nation's "top 25" National Universities and National Liberal Arts Colleges: An application of data envelopment analysis to higher education," Socio-Economic Planning Sciences, Elsevier, vol. 28(1), pages 33-45.
    14. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    15. Johnes, Jill, 2006. "Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993," European Journal of Operational Research, Elsevier, vol. 174(1), pages 443-456, October.
    16. Varian, Hal R, 1984. "The Nonparametric Approach to Production Analysis," Econometrica, Econometric Society, vol. 52(3), pages 579-597, May.
    17. Colbert, Amy & Levary, Reuven R. & Shaner, Michael C., 2000. "Determining the relative efficiency of MBA programs using DEA," European Journal of Operational Research, Elsevier, vol. 125(3), pages 656-669, September.
    18. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
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    Cited by:

    1. Köksalan, Murat & Büyükbasaran, Tayyar & Özpeynirci, Özgür & Wallenius, Jyrki, 2010. "A flexible approach to ranking with an application to MBA Programs," European Journal of Operational Research, Elsevier, vol. 201(2), pages 470-476, March.
    2. Kristof de Witte & Laura López-Torres, 2015. "Efficiency in Education. A Review of Literature and a Way Forward," Working Papers 1501, Departament Empresa, Universitat Autònoma de Barcelona, revised Apr 2015.
    3. Ray, Subhash C. & Ghose, Arpita, 2014. "Production efficiency in Indian agriculture: An assessment of the post green revolution years," Omega, Elsevier, vol. 44(C), pages 58-69.
    4. Kao, Ling-Jing & Lu, Chi-Jie & Chiu, Chih-Chou, 2011. "Efficiency measurement using independent component analysis and data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 210(2), pages 310-317, April.
    5. repec:pal:jorsoc:v:68:y:2017:i:4:d:10.1057_jors.2015.92 is not listed on IDEAS
    6. Aithal, Sreeramana & Kumar, Suresh, 2016. "ABC Model of Research Productivity and Higher Educational Institutional Ranking," MPRA Paper 72333, University Library of Munich, Germany.
    7. Mukherjee, Kankana, 2010. "Measuring energy efficiency in the context of an emerging economy: The case of indian manufacturing," European Journal of Operational Research, Elsevier, vol. 201(3), pages 933-941, March.
    8. Elliott, Caroline & Soo, Kwok Tong, 2013. "The international market for MBA qualifications: The relationship between tuition fees and applications," Economics of Education Review, Elsevier, vol. 34(C), pages 162-174.
    9. Mazumdar, Mainak & Rajeev, Meenakshi & Ray, Subhash C., 2012. "Sources of Heterogeneity in the Efficiency of Indian Pharmaceutical Firms," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 47(2), pages 191-221.
    10. Johnes, Jill, 2015. "Operational Research in education," European Journal of Operational Research, Elsevier, vol. 243(3), pages 683-696.
    11. Aithal, Sreeramana, 2016. "Study on Research Productivity in World Top Business Schools," MPRA Paper 72246, University Library of Munich, Germany.
    12. Chen, Po-Chi & Yu, Ming-Miin & Chang, Ching-Cheng & Managi, Shunsuke, 2014. "Non-Radial Directional Performance Measurement with Undesirable Outputs," MPRA Paper 57189, University Library of Munich, Germany.
    13. repec:spr:scient:v:103:y:2015:i:2:d:10.1007_s11192-015-1561-2 is not listed on IDEAS
    14. Aithal, Sreeramana, 2016. "Innovations in Student Centric Learning – A Study of Top Business Schools in India," MPRA Paper 71742, University Library of Munich, Germany.
    15. Nikolaidis, Yiannis & Dimitriadis, Sotirios G., 2014. "On the student evaluation of university courses and faculty members’ teaching performance," European Journal of Operational Research, Elsevier, vol. 238(1), pages 199-207.
    16. Aithal, Sreeramana, 2016. "Study of Annual Research Productivity in Indian Top Business Schools," MPRA Paper 71435, University Library of Munich, Germany, revised May 2016.
    17. repec:pal:jorsoc:v:61:y:2010:i:8:d:10.1057_jors.2009.75 is not listed on IDEAS

    More about this item

    Keywords

    Data Envelopment Analysis; Pareto-Koopmans global efficiency; Reputation;

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • D6 - Microeconomics - - Welfare Economics
    • N3 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy

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