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Tipo de cambio, nivel de precios y divergencias: un análisis regional para la República Argentina

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  • Ernesto Gabriel Pizarro Levi

Abstract

El presente artículo estudia la relación existente entre el tipo de cambio y el nivel de precios en instancias regionales para la República Argentina. Se considera que las fluctuaciones del tipo de cambio influyen de manera disímil sobre los índices de precios a los que se enfrentan las seis regiones que componen el territorio argentino, según la clasificación del Instituto Nacional de Estadísticas y Censos (INDEC). Se utilizan como variables el tipo de cambio, el índice de precios al consumidor nacional y los índices de precios al consumidor de cada región. El análisis empírico se efectúa mediante el uso de estadísticas descriptivas y la aplicación de los métodos econométricos de cointegración y de ciclos comunes con el fin de conocer la correspondencia existente entre las variables tanto a corto como a largo plazo. Los resultados expresan que las variaciones cambiarias influyen de diversas maneras sobre los precios de las diferentes regiones que integran la República Argentina. Igualmente, se observan diferencias significativas entre los resultados obtenidos a nivel nacional y para cada región a corto y a largo plazo. Esto último sugiere la existencia de heterogeneidades regionales particulares que implican distintos efectos del tipo de cambio sobre los precios a lo largo y ancho del país.

Suggested Citation

  • Ernesto Gabriel Pizarro Levi, 2021. "Tipo de cambio, nivel de precios y divergencias: un análisis regional para la República Argentina," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 40(72), pages 87-114, July.
    • Handle: RePEc:col:000152:020117
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    References listed on IDEAS

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    1. Sebastian Edwards, 2006. "The Relationship Between Exchange Rates and Inflation Targeting Revisited," Working Papers Central Bank of Chile 409, Central Bank of Chile.
    2. Michele Ca’ Zorzi & Elke Hahn & Marcelo Sánchez, 2007. "Exchange Rate Pass-Through in Emerging Markets," The IUP Journal of Monetary Economics, IUP Publications, vol. 0(4), pages 84-102, November.
    3. Jonathan McCarthy, 2007. "Pass-Through of Exchange Rates and Import Prices to Domestic Inflation in Some Industrialized Economies," Eastern Economic Journal, Eastern Economic Association, vol. 33(4), pages 511-537, Fall.
    4. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    5. Ilan Goldfajn & Sérgio Ribeiro da Costa Werlang, 2000. "The Pass-through from Depreciation to Inflation: A Panel Study," Working Papers Series 5, Central Bank of Brazil, Research Department.
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    More about this item

    Keywords

    índice de precios; tipo de cambio; regiones; Argentina; análisis regional; ciclos comunes; cointegración.;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • 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
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • R50 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - General

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