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MONETARY POLICY WHEN THE ZERO LOWER BOUND IS WITHIN REACH: A SMOOTH TRANSITION REGRESSION APPROACH

Published online by Cambridge University Press:  20 March 2019

Andreas Steiner
Andreas Steiner*
Affiliation:
University of Groningen
*
Address correspondence to: Andreas Steiner, Department of Global Economics and Management, Faculty of Economics and Business, University of Groningen, Nettelbosje 2, 9747 AE Groningen, The Netherlands. Tel: +31 (0) 50 363 4795. e-mail: [email protected]
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Abstract

The period of low interest rates since the global financial crisis provides a unique opportunity to examine monetary policy reaction functions near the zero lower bound (ZLB). Using smooth transition regressions for the Euro area and a panel of industrialized countries we show that central banks anticipate the ZLB by less aggressive policies in its vicinity while we do not find a significant difference between both regimes for the US.

Keywords

Monetary PolicyZero Lower BoundInterest Rate Reaction FunctionsSmooth Transition Regression Model
Type
Articles
Information
Macroeconomic Dynamics , Volume 25 , Issue 1 , January 2021 , pp. 201 - 212
Copyright
© Cambridge University Press 2019

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Footnotes

The author is grateful to Gilbert Colletaz for providing the RATS code. The author would like to thank anonymous referees, Julien Pinter, Wolfgang Strehl, Frank Westermann, Joachim Wilde, and participants of the INFER workshop on “The European Integration and its International Dimension,” the 47th Annual Conference of the Money, Macro and Finance Research Group at Cardiff University, the 23rd Annual Conference of the Multinational Finance Society, and the 3rd HenU/INFER Workshop on Applied Macroeconomics for helpful comments and suggestions.

References

Adam, K. and Billi, R. (2006) Optimal monetary policy under commitment with a zero bound on nominal interest rates. Journal of Money, Credit and Banking 38(7), 1877–1905.CrossRefGoogle Scholar
Alcidi, C., Flamini, A. and Fracasso, A. (2011) Policy regime changes, judgment and Taylor rules in the Greenspan era. Economica 78(309), 89–107.CrossRefGoogle Scholar
Assenmacher-Wesche, K. (2006) Estimating central banks preferences from a time-varying empirical reaction function. European Economic Review 50, 1951–1974.CrossRefGoogle Scholar
Barnett, W. A. and Duzhak, E. A. (2019) Structural stability of the generalized Taylor rule. Macroeconomic Dynamics 1–15, doi: 10.1017/S1365100517000414.Google Scholar
Beckmann, J., Belke, A. and Dreger, C. (2017) The relevance of international spillovers and asymmetric effects in the Taylor rule. The Quarterly Review of Economics and Finance 64(C), 162–170.CrossRefGoogle Scholar
Bini Smaghi, L. (2008) Careful with the (“d”) words!. Speech given in the European Colloquia Series, Venice, 25 November.Google Scholar
Boivin, J. (2006) Has U.S. monetary policy changed? Evidence from drifting coefficients and real-time data. Journal of Money, Credit and Banking 38(5), 1149–1174.CrossRefGoogle Scholar
Brüggemann, R. and Riedel, J. (2011) Nonlinear interest rate reaction functions for the UK. Economic Modelling 28(3), 1174–1185.CrossRefGoogle Scholar
Cao, J. and Illing, G. (2015) “Interest rate trap”, or why does the central bank keep the policy rate too low for too long? The Scandinavian Journal of Economics 117, 1256–1280.CrossRefGoogle Scholar
Castro, V. (2011) Can central banks’ monetary policy be described by a linear (augmented) Taylor rule or by a nonlinear rule? Journal of Financial Stability 7(4), 228–246.CrossRefGoogle Scholar
Chevapatrakul, T., Kim, T.-H. and Mizen, P. (2009) The Taylor principle and monetary policy approaching a zero bound on nominal rates: Quantile regression results for the United States and Japan. Journal of Money, Credit and Banking 41, 1705–1723.CrossRefGoogle Scholar
Christensen, A. M. and Nielsen, H. B. (2009) Monetary policy in the Greenspan era: A time series analysis of rules vs. discretion. Oxford Bulletin of Economics and Statistics 71(1), 69–89.CrossRefGoogle Scholar
Clarida, R., Galí, J. and Gertler, M. (1998) Monetary policy rules in practice: Some international evidence. European Economic Review 42(6), 1033–1067.CrossRefGoogle Scholar
Gerlach, S. (2011) ECB repo rate setting during the financial crisis. Economics Letters 112(2), 186–188.CrossRefGoogle Scholar
Gerlach, S. and Lewis, J. (2014) ECB reaction functions and the crisis of 2008. International Journal of Central Banking 10(1), 137–158.Google Scholar
Hubert, P. (2015) The influence and policy signalling role of FOMC forecasts. Oxford Bulletin of Economics and Statistics 77(5), 665–680.CrossRefGoogle Scholar
Judd, J. P. and Rudebusch, G. D. (1998) Taylor’s rule and the Fed, 1970–1997. Economic Review, Federal Reserve Bank of San Francisco, 3–16.Google Scholar
Kiesel, K. and Wolters, M. (2014) Estimating monetary policy rules when the zero lower bound on nominal interest rates is approached. Kiel Working Papers 1898, Kiel Institute for the World Economy.Google Scholar
Kim, T.-H. andMizen, P. (2010) Estimating monetary reaction functions at near zero interest rates. Economics Letters 106(1), 57–60.CrossRefGoogle Scholar
Kishor, N. K. (2012) A note on time variation in a forward-looking monetary policy rule: Evidence from European countries. Macroeconomic Dynamics 16(S3), 422–437.CrossRefGoogle Scholar
Mankiw, N. G., Miron, J. and Weil, D. (1987) The adjustment of expectations to a change in regime: A study of the founding of the Federal Reserve. American Economic Review 77(3), 358–374.Google Scholar
Orphanides, A. and Wieland, V. (2000) Efficient monetary policy design near price stability. Journal of the Japanese and International Economies 14, 327–365.CrossRefGoogle Scholar
Reifschneider, D. and Williams, J. (2000) Three lessons for monetary policy in a low-inflation era. Journal of Money, Credit and Banking 32(4), 936–966.CrossRefGoogle Scholar
Surico, P. (2007) The monetary policy of the European Central Bank. Scandinavian Journal of Economics 109, 115–135.CrossRefGoogle Scholar
Taylor, J. (1993) Discretion versus policy rules in practice. Carnegie-Rochester Conference on Public Policy 39, 195–214.CrossRefGoogle Scholar
Terasvirta, T. (1994) Specification, estimation, and evaluation of smooth transition autoregressive models. Journal of the American Statistical Association 89, 208–218.Google Scholar
Terasvirta, T. (2004) Smooth transition regression modeling, in: Lütkepohl, H. and Krätzig, M. (eds.), Applied Time Series Econometrics, chapter 6, pp. 222–242. Cambridge University Press.CrossRefGoogle Scholar
Tillmann, P. (2011) Parameter uncertainty and nonlinear monetary policy rules. Macroeconomic Dynamics 15(2), 184–200.CrossRefGoogle Scholar
van Dijk, D., Terasvirta, T. and Franses, P. H. (2002) Smooth transition autoregressive models - A survey of recent developments. Econometric Reviews 21(1), 1–47.CrossRefGoogle Scholar