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How do business schools compete in Latin America? Stability and best predictors of success for the AmericaEconomia MBA Ranking

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  • María José Quinteros
  • Rafael Sánchez
  • Mauricio G. Villena

Abstract

The main aim of this paper is to present a longitudinal analysis of the AmericaEconomia MBA Ranking for the period 2005–2014. AmericaEconomia was the first international ranking specifically devoted to Latin American business schools, and with data gathered from this publication, we build a panel to study its stability and the main determinants of a school‘s position in such ranking. We examine the reliability of the ranking, that is whether changes in the relative positions are not just due to white noise, and compare its stability with those of the US and other global rankings. We also empirically determine which are the key quality variables this ranking is promoting for Latin America Business Schools and the evolution of these business schools during the period under study. Unlike previous literature that usually considers dynamic Tobit models for ranking analysis, we put forwards an alternative methodology based on a system GMM estimator with first-differenced instruments. We argue that dynamic Tobit models are appropriate only if you have truncated data about the ranking variable but full data on Business Schools variables.

Suggested Citation

  • María José Quinteros & Rafael Sánchez & Mauricio G. Villena, 2020. "How do business schools compete in Latin America? Stability and best predictors of success for the AmericaEconomia MBA Ranking," Applied Economics, Taylor & Francis Journals, vol. 52(50), pages 5546-5563, October.
    • Handle: RePEc:taf:applec:v:52:y:2020:i:50:p:5546-5563
    DOI: 10.1080/00036846.2020.1765965
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    References listed on IDEAS

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    1. Dichev, Ilia D, 1999. "How Good Are Business School Rankings?," The Journal of Business, University of Chicago Press, vol. 72(2), pages 201-213, April.
    2. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    3. Linda Wedlin, 2006. "Ranking Business Schools," Books, Edward Elgar Publishing, number 3941.
    4. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    1. Olavarrieta, Sergio & Quinteros, María José & Villena, Mauricio, 2021. "A Strategic Impact Model for Latin American Business Schools," MPRA Paper 107813, University Library of Munich, Germany, revised 17 Apr 2021.

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    More about this item

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education

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