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Monetary policy and the exchange rate: Evaluation of VAR models

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  • Jääskelä, Jarkko P.
  • Jennings, David

Abstract

This paper examines the ability of vector autoregressive (VAR) models to properly identify the transmission of monetary policy in a controlled experiment. Simulating data from a small open economy DSGE model estimated for Australia, we find that sign-restricted VAR models do reasonably well at estimating the responses of macroeconomic variables to monetary policy shocks. This is in contrast to models that use recursive zero-type restrictions, for which inflation can rise following an unexpected interest rate increase while the exchange rate can appreciate or depreciate depending on the ordering of the variables. Sign-restricted VAR models seem to be able to overcome puzzles related to the real exchange rate, provided that a sufficient number of different types of shocks are identified. Despite delivering the correct sign of the impulse responses, central tendency measures of sign-restricted VAR models can, however, be misleading and hardly ever coincide with the true impulses. This finding casts doubt on the common notion that the median impulses are the ‘most probable’ description of the true data-generating process.

Suggested Citation

  • Jääskelä, Jarkko P. & Jennings, David, 2011. "Monetary policy and the exchange rate: Evaluation of VAR models," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1358-1374.
  • Handle: RePEc:eee:jimfin:v:30:y:2011:i:7:p:1358-1374
    DOI: 10.1016/j.jimonfin.2011.06.014
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    References listed on IDEAS

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    Cited by:

    1. Nicolas Groshenny & Naveed Javed, 2023. "Dornbusch’s overshooting and the systematic component of monetary policy in SOE-SVARs," TEPP Working Paper 2023-08, TEPP.
    2. Herwartz, Helmut & Plödt, Martin, 2014. "Sign restrictions and statistical identification under volatility breaks -- Simulation based evidence and an empirical application to monetary policy analysis," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100326, Verein für Socialpolitik / German Economic Association.
    3. Hamish Burrell & Joaquin Vespignani, 2021. "The Industrial Impact of Economic Uncertainty Shocks in Australia," Economic Papers, The Economic Society of Australia, vol. 40(3), pages 248-271, September.
    4. Burrel, Hamish & Vespignani, Joaquin L., 2020. "Industrial Impact of Economic Uncertainty Shocks in Australia: Revised," MPRA Paper 104117, University Library of Munich, Germany.
    5. Aswin Rivai, 2022. "The monetary policy impact on agricultural growth and food prices," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(9), pages 158-165, December.
    6. Zulfiqar Ali WAGAN & Zhang CHEN & Hakimzadi SEELRO & Muhammad Sanaullah SHAH, 2018. "Assessing the effect of monetary policy on agricultural growth and food prices," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(11), pages 499-507.
    7. Forhad, Abdur Rahman & Homaifar, Ghassem A. & Salimullah, Abul Hasnat Muhammed, 2017. "Monetary Policy Transmission Effect On The Real Sector Of The Bangladesh Economy: An Svar Approach," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 70(1), pages 25-46.
    8. K. Istrefi & B. Vonnak, 2015. "Delayed Overshooting Puzzle in Structural Vector Autoregression Models," Working papers 576, Banque de France.
    9. Baumeister, Christiane & Hamilton, James D., 2021. "Reprint: Drawing conclusions from structural vector autoregressions identified on the basis of sign restrictions," Journal of International Money and Finance, Elsevier, vol. 114(C).
    10. T. Philipp Dybowski & Max Hanisch & Bernd Kempa, 2018. "The role of the exchange rate in Canadian monetary policy: evidence from a TVP-BVAR model," Empirical Economics, Springer, vol. 55(2), pages 471-494, September.
    11. Baumeister, Christiane & Hamilton, James D., 2020. "Drawing conclusions from structural vector autoregressions identified on the basis of sign restrictions," Journal of International Money and Finance, Elsevier, vol. 109(C).
    12. Fisher, Lance A. & Huh, Hyeon-seung, 2016. "Monetary policy and exchange rates: Further evidence using a new method for implementing sign restrictions," Journal of Macroeconomics, Elsevier, vol. 49(C), pages 177-191.
    13. Carrillo, Julio A. & Elizondo, Rocio & Hernández-Román, Luis G., 2020. "Inquiry on the transmission of U.S. aggregate shocks to Mexico: A SVAR approach," Journal of International Money and Finance, Elsevier, vol. 104(C).
    14. Wee Chian Koh, 2017. "The effects of macroeconomic shocks on the Brunei economy: a sign restriction approach," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 22(3), pages 414-428, July.
    15. Fisher, Lance A. & Huh, Hyeon-seung, 2023. "Systematic monetary policy in a SVAR for Australia," Economic Modelling, Elsevier, vol. 128(C).

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    More about this item

    Keywords

    VAR models; Sign restrictions; Shock identification; Small open economy models;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • 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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