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Monetary policy shocks and exchange rate dynamics in small open economies

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  • Madison Terrell
  • Qazi Haque
  • Jamie L. Cross
  • Firmin Doko Tchatoka

Abstract

This paper investigates the relationship between monetary policy shocks and real exchange rates in several small open economies. To that end, we develop a novel identification strategy for time-varying structural vector autoregressions with stochastic volatility. Our approach combines short-run and long-run restrictions to preserve the contemporaneous interaction between the interest rate and the exchange rate. Using this framework, we find that the volatility of monetary policy shocks has substantially decreased in all countries. This leads to a considerable reduction in the significance of policy shocks in explaining exchange rate and macroeconomic fluctuations since the 1990s. However, we find that the dynamic effects of the policy shocks have remained stable over time. Finally, while we do identify violations of uncovered interest parity (UIP) in some countries, we find no evidence of the ‘exchange rate puzzle’ or the ‘delayed overshooting puzzle’ in any country.

Suggested Citation

  • Madison Terrell & Qazi Haque & Jamie L. Cross & Firmin Doko Tchatoka, 2023. "Monetary policy shocks and exchange rate dynamics in small open economies," Working Papers No 10/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    • Handle: RePEc:bny:wpaper:0122
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    File URL: https://hdl.handle.net/11250/3095574
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    1. Haltiwanger, John & Waldman, Michael, 1985. "Rational Expectations and the Limits of Rationality: An Analysis of Heterogeneity," American Economic Review, American Economic Association, vol. 75(3), pages 326-340, June.
    2. Woo, Mi-Ja & Sriram, T.N., 2007. "Robust estimation of mixture complexity for count data," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4379-4392, May.
    3. Mary A. Burke & Michael Manz, 2014. "Economic Literacy and Inflation Expectations: Evidence from a Laboratory Experiment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(7), pages 1421-1456, October.
    4. Dionne, Georges & Artis, Manuel & Guillen, Montserrat, 1996. "Count data models for a credit scoring system," Journal of Empirical Finance, Elsevier, vol. 3(3), pages 303-325, September.
    5. Pfajfar, Damjan & Santoro, Emiliano, 2010. "Heterogeneity, learning and information stickiness in inflation expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 426-444, September.
    6. P. M. Hartigan, 1985. "Computation of the Dip Statistic to Test for Unimodality," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 34(3), pages 320-325, November.
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