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Efectos regionales de la política monetaria en Colombia

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  • Igor Esteban Zuccardi Huertas

Abstract

En este documento se analiza si las regiones colombianas responden de manera diferente a un choque de política monetaria común. Para ello se estimaron ocho modelos VAR, uno con información nacional y uno por cada una de las áreas metropolitanas de Bogotá, Medellín, Cali, Barranquilla, Bucaramanga, Manizales y Pasto, entre 1984 y 2000. Además, se estimó un modelo SUR con información regional para ajustar las respuestas de las ciudades a las posibles relaciones interregionales existentes. Se encontró que Bucaramanga es la ciudad que más responde a un incentivo monetario, mientras que Bogotá y Barranquilla reaccionan de forma similar al promedio nacional. Medellín, Manizales y Pasto muestran comportamientos distintos, en tanto que Cali es la región menos sensible. Sin embargo, a pesar de estos resultados, no se encontró evidencia estadística para afirmar que dichas regiones responden de maneras diversas a un choque monetario común.

Suggested Citation

  • Igor Esteban Zuccardi Huertas, 2002. "Efectos regionales de la política monetaria en Colombia," Documentos de trabajo sobre Economía Regional y Urbana 32, Banco de la Republica de Colombia.
    • Handle: RePEc:bdr:region:32
    DOI: 10.32468/dtseru.32
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    References listed on IDEAS

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    Cited by:

    1. Adolfo Meisel Roca, 2003. "La continentalización de la isla de San Andrés, Colombia: Panyas, raizales y turismo, 1953-2003," Documentos de trabajo sobre Economía Regional y Urbana 37, Banco de la Republica de Colombia.
    2. Pavel Vidal & Gilberto Ramírez & Lya Paola Sierra, 2018. "¿Por qué el Valle del Cauca ha crecido más que el promedio nacional? Un análisis regional de los ciclos y los choques económicos," Working Papers 33, Faculty of Economics and Management, Pontificia Universidad Javeriana Cali.

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    More about this item

    Keywords

    Política monetaria; respuestas regionales; Vectores Autorregresivos VAR; modelo SUR.;
    All these keywords.

    JEL classification:

    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • R5 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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