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The Effects Of Monetary Policy Shocks In Peru: Semi-Structural Identification Using A Factor-Augmented Vector Autoregressive Model

Author

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  • Lahura, Erick

    (Central Bank of Peru and LSE)

Abstract

The main goal of this paper is to analyze the effects of monetary policy shocks in Peru, taking into account two important issues that have been addressed separately in the VAR literature. The first one is the difficulty to identify the most appropriate indicator of monetary policy stance, which is usually assumed rather than determined from an estimated model. The second one is the fact that monetary policy decisions are based on the analysis of a wide range of economic and financial data, which is at odds with the small number of variables specified in most VAR models. To overcome the first issue, Bernanke and Mihov (1998) proposed a semi-structural VAR model from which the indicator of monetary policy stance can be derived rather than assumed. Meanwhile, the data problem has been resolved recently by Bernanke, Boivin and Eliasz (2005) using a Factor-Augmented Vector Autoregressive (FAVAR) model. In order to capture these two issues simultaneously, we propose an extension of the FAVAR model that incorporates a semi-structural identification approach a la Bernanke and Mihov, resulting in a VAR model that we denominate SS-FAVAR. Using data for Peru, the results show that the SS-FAVAR's impulse-response functions (IRFs) provide a more coherent picture of the effects of monetary policy shocks compared to the IRFs of alternative VAR models. Furthermore, it is found that innovations to nonborrowed reserves can be identified as monetary policy shocks for the period 1995-2003.

Suggested Citation

  • Lahura, Erick, 2010. "The Effects Of Monetary Policy Shocks In Peru: Semi-Structural Identification Using A Factor-Augmented Vector Autoregressive Model," Working Papers 2010-008, Banco Central de Reserva del Perú.
  • Handle: RePEc:rbp:wpaper:2010-008
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    References listed on IDEAS

    as
    1. Armas, Adrián & Grippa, Francisco & Quispe, Zenón & Valdivia, Luis, 2001. "De metas monetarias a metas de inflación en una economía con dolarización parcial: El caso peruano," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 7.
    2. Gordon, David B & Leeper, Eric M, 1994. "The Dynamic Impacts of Monetary Policy: An Exercise in Tentative Identification," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1228-1247, December.
    3. Eric M. Leeper & Christopher A. Sims & Tao Zha, 1996. "What Does Monetary Policy Do?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(2), pages 1-78.
    4. Adrián Armas & Francisco Grippa, 2005. "Targeting Inflation in a Dollarized Economy: The Peruvian Experience," Research Department Publications 4423, Inter-American Development Bank, Research Department.
    5. Fabio Milani & Francesco Belviso, 2003. "Structural Factor-Augmented VAR (SFAVAR)," Computing in Economics and Finance 2003 278, Society for Computational Economics.
    6. James H. Stock & Mark W. Watson, 1998. "Diffusion Indexes," NBER Working Papers 6702, National Bureau of Economic Research, Inc.
    7. Daniel L. Thornton, 1988. "The borrowed-reserves operating procedures: theory and evidence," Review, Federal Reserve Bank of St. Louis, issue Jan, pages 30-54.
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    Cited by:

    1. Lahura, Erick, 2012. "Midiendo los efectos de la política monetaria a través de las expectativas de mercado," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 23, pages 39-52.
    2. Lahura, Erick, 2012. "Measuring the Effects of Monetary Policy Using Market Expectations," Working Papers 2012-005, Banco Central de Reserva del Perú.
    3. Castillo, Paul & Pérez, Fernando & Tuesta, Vicente, 2011. "Los mecanismos de transmisión de la política monetaria en Perú," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 21, pages 41-63.
    4. Jhonatan Portilla Goicochea & Gabriel Rodríguez, 2020. "Evolution of Monetary Policy in Peru: An Empirical Application Using a Mixture Innovation TVP-VAR-SV Model," Documentos de Trabajo / Working Papers 2020-485, Departamento de Economía - Pontificia Universidad Católica del Perú.
    5. Winkelried, Diego, 2013. "Modelo de Proyección Trimestral del BCRP: Actualización y novedades," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 26, pages 9-60.

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    More about this item

    Keywords

    VAR; FAVAR; Monetary Policy; Semi-Structural Identification.;
    All these keywords.

    JEL classification:

    • 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
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • 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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