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Datos en Tiempo Real, Regla de Taylor y Política Monetaria en Colombia: Otro Ejercicio Empírico

Author

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  • Gloria Bernal y Andrés Giraldo
  • Andrés Giraldo

Abstract

Este artículo presenta resultados de la estimación de una regla de Taylor con suavizamiento de tasa de interés y usando la base de tatos en tiempo real construida por Bernal y Tautiva (2011). El objetivo es obtener estimaciones puntuales de la aversión a la inflación y compararlos con estimaciones donde se usa la versión revisada de la base de datos de producto. La aversión a la inflación es mayor que uno pero los resultados son puntualmente distintos. Por lo tanto, el banco central debe tener en cuenta esas diferencias cuando toma las decisiones de cambio en la tasa de intervención.

Suggested Citation

  • Gloria Bernal y Andrés Giraldo & Andrés Giraldo, 2017. "Datos en Tiempo Real, Regla de Taylor y Política Monetaria en Colombia: Otro Ejercicio Empírico," Documentos de Economía 15491, Universidad Javeriana - Bogotá.
    • Handle: RePEc:col:000108:015491
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    File URL: http://cea.javeriana.edu.co/investigacion-publicaciones/documentos-trabajo/vniversitas-economica
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    Keywords

    Regla de Taylor; Principio de Taylor; Datos en tiempo real; modelos espacio-estado; filtro de Kalman;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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