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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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  • Quinteros, María José
  • Sanchez, Rafael
  • Villena, Mauricio G.

Abstract

The main aim of this paper is to present a longitudinal analysis of the changes in the AmericaEconomia MBA Rankings for the period 2005-2014. The AmericaEconomia ranking was the first international ranking specifically devoted to Latin American business schools, and with data gathered from this ranking we build a panel to study its stability and the main determinants of a school’s position in such ranking during the period under study. The final aim of this study is to examine the reliability of the AmericaEconomia ranking, that is whether changes in the ranking positions are not just due to white noise, and compare its stability with those of the US and other global rankings. We also want to 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 forward 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. This is not always the case, as in our work in which we only have a subsample of Latin American Business Schools, those included in the AmericaEconomia ranking.

Suggested Citation

  • Quinteros, María José & Sanchez, Rafael & Villena, Mauricio G., 2019. "How Do Business Schools compete in Latin America?Stability and Best Predictors of Success for the AmericaEconomia MBA Ranking," MPRA Paper 99148, University Library of Munich, Germany, revised 02 Dec 2019.
    • Handle: RePEc:pra:mprapa:99148
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    References listed on IDEAS

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    1. 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.
    2. Linda Wedlin, 2006. "Ranking Business Schools," Books, Edward Elgar Publishing, number 3941.
    3. 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.
    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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    Cited by:

    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

    Keywords

    Business Schools; Rankings; MBA education; Latin America; Longitudinal Analysis; Dynamic Panels.;
    All these keywords.

    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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