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The forecasts-based instrument rule and decision making. How closely interlinked? The case of Sweden

Abstract

Research background: The Central Bank of Sweden declared in years 1999–2006 the implementation of the Svensson’s concept of inflation forecast targeting (IFT). It means that the repo rate decision-making process depends on the inflation forecasts. The concept evolved from the strict IFT with the decision-making algorithm called ‘the rule of thumb’ to the flexible IFT. Purpose of the article: The aim of the article is to: (1) analyze the influence of the inflation rate and GDP growth rate on the repo rate decisions, (2) analyze the influence of the infla- tion rate and GDP growth rate forecasts (in two year horizon) on the repo rate decisions in Sweden in years 1999–2006. Methods: The analysis encompasses the repo rates decisions, CPI inflation rate, GDP growth rate, central paths of CPI inflation forecasts and central paths of GDP growth rate forecasts (the mode values) in the two years horizon published by The Central Bank of Sweden in years 1999–2006. The studies are based on the Taylor-type instrument rule and forecast-based Taylor-type instrument rule. The methodology used is multiple linear regres- sion models. Findings & Value added: The Central Bank of Sweden in years 1999–2006 implemented direct inflation forecast targeting (DIFT) rule. The decision-making algorithm was based on the CPI inflation forecasts and the rule of the thumb algorithm. The exact rule of the thumb was as follow: if the inflation forecast, in the tw o year forecast’s horizon exceeded the inflation target by 1 p.p., then the central bank raised the repo rate by 0.4 p.p; if it was below it, then the central bank reduced the repo rate by 0.4 p.p. If the inflation forecast was equal to the inflation target, then the repo rate remained unchanged. The historical repo rates differ from the theoretical estimated rule of the thumb’s repo rates by +/-0.28 p.p.

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Category:
Articles
Type:
artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
Published in:
EQUILIBRIUM Quarterly Journal of Economics and Economic Policy no. 12, edition 2, pages 295 - 315,
ISSN: 1689-765X
Language:
English
Publication year:
2017
Bibliographic description:
Tura-Gawron K.: The forecasts-based instrument rule and decision making. How closely interlinked? The case of Sweden// EQUILIBRIUM. -Vol. 12., iss. 2 (2017), s.295-315
DOI:
Digital Object Identifier (open in new tab) 10.24136/eq.v12i2.16
Bibliography: test
  1. Adolfson, M., Laseen, S., Linde, J., & Villani, M. (2007a). Bayesian estimation of an open economy DSGE model with incomplete pass-through. Journal of In- ternational Economics, 72(2). doi: 10.1016/j.jinteco.2007.01.003. open in new tab
  2. Adolfson, M., Laseen, S., Linde, J., & Villani, M. (2007b). RAMSES-a new gen- eral equilibrium model for monetary policy analysis. Economic Review, Sveri- ges Riksbank, 2. Batini, N., & Nelson, E. (2001). Optimal horizons for inflation targeting. Journal of Economic Dynamics and Control, 25(6-7). doi: 10.1016/S0165- 1889(00)00060-9. open in new tab
  3. Clarida, R., Gali, J., & Gertler, M. (2000). Monetary policy rules and macroeco- nomic Stability: evidence and some theory. Quarterly Journal of Economics, 115(1). doi: 10.1162/003355300554692. open in new tab
  4. Brouwer, G., & Ellis, L. (1998). Forward-looking behaviour and credibility: some evidence and implications for policy. Reserve Bank of Australia Research Discussion Paper, 9803. Heikensten, L. (2000). Monetary policy and wage formation. Speech at the Office of Labour Market Policy Evaluation (IFAU). Stockholm.05.05.2000.
  5. Heikensten, L. (2003). Monetary policy and potential growth. Speech at the Swe- dish Economics Association, Stockholm, 28.03.2003.
  6. A, Wieland, V., & Williams, J. C. (2003). The performance of forecast- based monetary policy rules under model uncertainty. American Economic Re- view, 93(3). doi: 10.1257/000282803322157016. open in new tab
  7. McCallum, B., & Nelson, E. (2005). Targeting vs. instrument rules for monetary policy. Federal Reserve Bank of St. Louis Review, 87(5). open in new tab
  8. Orphanides, A. (2001). Monetary policy rules based on real-time data. American Economic Review, 91(4). doi: 10.1257/aer.91.4.964. open in new tab
  9. Orphanides, A. (2003). Historical monetary policy analysis and Taylor rule. Jour- nal of Monetary Economics, 50. doi: 10.1016/S0304-3932(03)00065-5. open in new tab
  10. Rosenberg, I. (2006). The Riksbank's inflation targeting policy -the significance of the new interest rate assumption. Speech at Swedbank markets, Stockholm, 19.04.2006.
  11. Svensson, L. E. O. (1997). Inflation forecast targeting: implementing and monitor- ing inflations targets. European Economic Review, 41(6), doi: 10.1016/S0014- 2921(96)00055-4 open in new tab
  12. Svensson, L. E. O., & Rudebush, G. (1999). Policy rules for inflation targeting. In J. T. Taylor (Ed.). Monetary policy rules. Chicago: University of Chicago Press. open in new tab
  13. Svensson, L. E. O. (2002). Inflation targeting: Should it be modeled as an instru- ment rule or a targeting rule?. European Economic Review, 46(4-5). doi: 10.1016/S0014-2921(01)00212-4. open in new tab
  14. Svensson, L. E. O. (2003). What is wrong with Taylor rules? Using judgement monetary policy through targeting rules. Journal of Economic Literature, 41(2). doi: 10.1257/002205103765762734. open in new tab
  15. Svensson, L. E. O. (2005a). Monetary policy with judgment: forecast targeting. International Journal of Central Banking, 1(1). open in new tab
  16. Svensson, L. E. O., & Tetlow, R. (2005b). Optimal policy projections. Internation- al Journal of Central Banking, 1(3). doi: 10.2139/ssrn.813284. open in new tab
  17. Svensson, L. E. O. (2009). Flexible inflation targeting -lessons from the financial crisis. Speech at the workshop: Towards a new framework for monetary poli- cy? Lessons from the crisis. Netherlands Bank. Amsterdam. 21 September.
  18. Svensson, L. E. O. (2015). Forward guidance. International Journal of Central Banking, 11(4). doi: 10.3386/w20796. open in new tab
  19. Szyszko, M. (2017). Central bank's inflation forecasts and expectations. A com- parative analysis. Pargue Economic Papers. 26(3). doi: 10.18267/j.pep.614. open in new tab
  20. Taylor, J. B. (1993). Discretion versus policy rules in practice. Carnegie-Rochester Conference Series on Public Policy, 39. doi: 10.1016/0167-2231(93)90009-L. open in new tab
  21. Taylor, J. B. (1999). Introduction. In J. T. Taylor (Ed.). Monetary policy rules. Chicago: University of Chicago Press. open in new tab
  22. Tura, K. (2015). Central banks' inflation projections. On the edge of technical and strategical approach. Warszaw: Difin. 3 2008 2009 2010 2011 2012 2013 2014 2015 2016 CIR-Constant instrument rate during the forecast horizon ME-Market expectations instrument rate during the forecast horizon E-Endogenous instrument rate dovetailed with instrument rate forecast path *In these years GDP growth forecasts were not published in the form of charts but were described in the inflation reports with all necessary central paths data Source: own elaboration based on the Inflation Reports published by The Central Bank of Sweden between 1999-2016.
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