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The Credit Channel and Monetary Transmission in Brazil and Chile: A Structured VAR Approach

In: Monetary Policy under Financial Turbulence


  • Luis A.V. Catão

    (International Monetary Fund)

  • Adrian Pagan

    (University of Technology, Sydney, and Queensland University of Technology)


We use an expectation-augmented SVAR representation of an open economy New Keynesian model to study monetary transmission in Brazil and Chile. The underlying structural model incorporates key structural features of Emerging Market economies, notably the role of a bank-credit channel. We find that interest rate changes have swifter effects on output and inflation in both countries compared to advanced economies and that exchange rate dynamics plays an important role in monetary transmission, as currency movements are highly responsive to changes in in policy-controlled interest rates. We also find the typical size of credit shocks to have large effects on output and inflation in the two economies, being stronger in Chile where bank penetration is higher.
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  • Luis A.V. Catão & Adrian Pagan, 2011. "The Credit Channel and Monetary Transmission in Brazil and Chile: A Structured VAR Approach," Central Banking, Analysis, and Economic Policies Book Series,in: Luis Felipe Céspedes & Roberto Chang & Diego Saravia (ed.), Monetary Policy under Financial Turbulence, edition 1, volume 16, chapter 5, pages 105-144 Central Bank of Chile.
  • Handle: RePEc:chb:bcchsb:v16c05pp105-144

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    Cited by:

    1. Ratti, Ronald A. & Vespignani, Joaquin L., 2015. "Commodity prices and BRIC and G3 liquidity: A SFAVEC approach," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 18-33.
    2. Viladegut, Hugo & Cabello, Miguel, 2014. "El canal de crédito en el Perú: Una aproximación SVAR," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 27, pages 51-66.
    3. Christian Glocker & Pascal Towbin, 2012. "The Macroeconomic Effects of Reserve Requirements," WIFO Working Papers 420, WIFO.
    4. Carlos J. García & Pablo González M. & Antonio Moncado S., 2013. "Macroeconomic Forecasting in Chile: a Structural Bayesian Approach," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 16(1), pages 24-63, April.
    5. Adrian Pagan & Don Harding, 2011. "Econometric Analysis and Prediction of Recurrent Events," NCER Working Paper Series 75, National Centre for Econometric Research.
    6. Kornél Kisgergely, 2012. "Is there a carry trade channel of monetary policy in emerging countries?," MNB Working Papers 2012/3, Magyar Nemzeti Bank (Central Bank of Hungary).
    7. repec:eee:jimfin:v:81:y:2018:i:c:p:159-184 is not listed on IDEAS

    More about this item

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy


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