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Determinantes de la corrupción en América Latina: un análisis a nivel país con enfoque bayesiano

Author

Listed:
  • Héctor Flores Márquez

    (Benemérita Universidad Autónoma de Puebla)

  • Adrián Jiménez Gómez

    (Benemérita Universidad Autónoma de Puebla)

Abstract

La corrupción es un fenómeno social que tiene un profundo efecto en la región de América Latina, por esta razón, se plantea encontrar las causas que contribuyen a su desarrollo. Se utiliza la metodología del Promedio de Modelos Bayesiano con Variables Instrumentales (IVBMA, por sus siglas en inglés), para hallar determinantes robustos de la corrupción en 19 países latinoamericanos. Se consideran 23 regresores con observaciones de 2013 al 2020. El IVBMA efectúa 8,388,608 modelos, con el fin de extraer los determinantes más robustos. Se revela que elementos institucionales y económicos son mejores predictores de la corrupción en la región.

Suggested Citation

  • Héctor Flores Márquez & Adrián Jiménez Gómez, 2025. "Determinantes de la corrupción en América Latina: un análisis a nivel país con enfoque bayesiano," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 40(1), pages 1-38.
    • Handle: RePEc:emx:esteco:v:40:y:2025:i:1:p:1-38
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    File URL: https://estudioseconomicos.colmex.mx/index.php/economicos/article/view/459
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    More about this item

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • H7 - Public Economics - - State and Local Government; Intergovernmental Relations
    • H19 - Public Economics - - Structure and Scope of Government - - - Other

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