How do business schools compete in Latin America? Stability and best predictors of success for the America Economia MBA Ranking
Author
Quinteros, María José
Sánchez, Rafael
Villena, Mauricio G.
Publication date
2020ISSN
0003-6846
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.
Document Type
Article
Subject (CDU)
33 - Economics. Economic science
Keywords
Escoles de negocis
Classificacions
Educació MBA
Dinàmic panells
Amèrica Llatina
Escuelas de Negocios
Clasificaciones
Educación MBA
Dinámica paneles
América Latina
Business Schools
Rankings
MBA education
Dynamic panels
Latin America
Pages
17
Publisher
Taylor & Francis
Is part of
Applied Economics
Citation
Quinteros, María José; Sánchez, Rafael; Villena, Mauricio G. [et al.]. How do business schools compete in Latin America? Stability and best predictors of success for the America Economia MBA Ranking. Applied Economics, 2020, 52(50), p. 5546-5563. Disponible en: <https://www.tandfonline.com/doi/full/10.1080/00036846.2020.1765965>. Fecha de acceso: 25 abr. 2024. DOI: 10.1080/00036846.2020.1765965
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Rights
© 2024 Applied Economics