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A VAR Model for Monetary Policy Analysis in a Small Open Economy

Author

Listed:
  • Jacobson, Tor

    () (Research Department, Central Bank of Sweden)

  • Jansson, Per

    (Monetary Policy Department, Central Bank of Sweden)

  • Vredin, Anders

    () (Research Department, Central Bank of Sweden)

  • Warne, Anders

    () (Research Department, Central Bank of Sweden)

Abstract

The interest in empirical studies of monetary policy has increased in the last decade. The deregulation of financial markets and the increased use of explicit policy rules and targets have made monetary policy more transparent and interesting for economic analysis. This paper demonstrates how a VAR model with long run restrictions justified by economic theory can be usefully applied in analyses of issues central to monetary policy: the effects of innovations in interest rates and other shocks; the short and long run relationships between prices and nominal and real exchange rates; the properties of an index of monetary conditions; dynamic forecasts of inflation; and the relation between inflation and the output gap

Suggested Citation

  • Jacobson, Tor & Jansson, Per & Vredin, Anders & Warne, Anders, 1999. "A VAR Model for Monetary Policy Analysis in a Small Open Economy," Working Paper Series 77, Sveriges Riksbank (Central Bank of Sweden).
  • Handle: RePEc:hhs:rbnkwp:0077
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    File URL: http://www.riksbank.com/upload/991/WP_77.pdf
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    References listed on IDEAS

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    1. Soderlind, Paul & Vredin, Anders, 1996. "Applied Cointegration Analysis in the Mirror of Macroeconomic Theory," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(4), pages 363-381, July-Aug..
    2. Jacobson, Tor & Vredin, Anders & Warne, Anders, 1998. "Are Real Wages and Unemployment Related?," Economica, London School of Economics and Political Science, vol. 65(257), pages 69-96, February.
    3. Guy Debelle & Glenn Stevens, 1995. "Monetary Policy Goals for Inflation in Australia," RBA Research Discussion Papers rdp9503, Reserve Bank of Australia.
    4. Sims, Christopher A, 1998. "Comment on Glenn Rudebusch's "Do Measures of Monetary Policy in a VAR Make Sense?"," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 933-941, November.
    5. Vredin, Anders & Warne, Anders, 1991. " Current Account and Macroeconomic Fluctuations," Scandinavian Journal of Economics, Wiley Blackwell, vol. 93(4), pages 511-530.
    6. Hendry, D.F. & Mizon, G.E., 1990. "Evaluating Dynamic Econometric Models By Encompassing The Var," Economics Series Working Papers 99102, University of Oxford, Department of Economics.
    7. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
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    9. Cushman, David O. & Zha, Tao, 1997. "Identifying monetary policy in a small open economy under flexible exchange rates," Journal of Monetary Economics, Elsevier, vol. 39(3), pages 433-448, August.
    10. Svensson, Lars E. O., 2000. "Open-economy inflation targeting," Journal of International Economics, Elsevier, vol. 50(1), pages 155-183, February.
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    12. Johansen, Soren & Juselius, Katarina, 1994. "Identification of the long-run and the short-run structure an application to the ISLM model," Journal of Econometrics, Elsevier, vol. 63(1), pages 7-36, July.
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    14. Faust, Jon & Leeper, Eric M, 1997. "When Do Long-Run Identifying Restrictions Give Reliable Results?," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 345-353, July.
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    17. Julio Rotemberg & Michael Woodford, 1997. "An Optimization-Based Econometric Framework for the Evaluation of Monetary Policy," NBER Chapters,in: NBER Macroeconomics Annual 1997, Volume 12, pages 297-361 National Bureau of Economic Research, Inc.
    18. Rudebusch, Glenn D, 1998. "Do Measures of Monetary Policy in a VAR Make Sense?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 907-931, November.
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    Citations

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    Cited by:

    1. Norrbin, Stefan, 2001. "What Have We Learned from Empirical Tests of the Monetary Transmission Effect," Working Paper Series 121, Sveriges Riksbank (Central Bank of Sweden).
    2. Thomas Lindh, 2004. "Medium-term forecasts of potential GDP and inflation using age structure information," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(1), pages 19-49.
    3. Héctor Bravo L. & Carlos García T., 2002. "Measuring Monetary Policy and Pass-Through in Chile," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 5(3), pages 5-28, December.
    4. Tor Jacobson & Per Jansson & Anders Vredin & Anders Warne, 2001. "Monetary policy analysis and inflation targeting in a small open economy: a VAR approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(4), pages 487-520.
    5. David Mayes & Matti Virén, 2000. "The exchange rate and monetary conditions in the Euro area," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 136(2), pages 199-231, June.
    6. Mukesh Khanal, 2011. "Monetary Neutrality in the Nepalese Economy during 1975-2008," NRB Economic Review, Nepal Rastra Bank, Research Department, vol. 23(1), pages 71-91, April.
    7. Grand Nathalie & Dropsy Vincent, 2005. "Exchange Rate And Inflation Targeting In Morocco And Tunisia," Macroeconomics 0507018, EconWPA.
    8. Hilde C. Bjørnland, 1998. "Economic Fluctuations in a Small Open Economy - Real versus Nominal Shocks," Discussion Papers 215, Statistics Norway, Research Department.
    9. Mukesh Khanal, 2011. "Monetary Neutrality in the Nepalese Economy during 1975-2008," Working Papers id:4647, eSocialSciences.

    More about this item

    Keywords

    Cointegration; Common stochastic trends; Monetary policy; Vector autoregressions;

    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
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • 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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