Multiple Regimes in U.S. Monetary Policy? A Nonparametric Approach
AbstractWe use two different nonparametric methods to determine whether there were multiple regimes in U.S. monetary policy over the period 1955-2003. We model monetary policy using two different versions of Taylor's rule for the nominal interest-rate target. By contrast with parametric tests for regime changes, the nonparametric methods we use allow the data to determine the dimensions on which to split the sample for purposes of estimating the coefficients of the Taylor rule. We find evidence for a few structural breaks and consistent agreement between our two nonparametric methods on the dating of those breaks.
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Bibliographic InfoArticle provided by Blackwell Publishing in its journal Journal of Money, Credit and Banking.
Volume (Year): 38 (2006)
Issue (Month): 5 (August)
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Other versions of this item:
- John Duffy and Jim Engle-Warnick, 2001. "Multiple Regimes in U.S. Monetary Policy? A Nonparametric Approach," Computing in Economics and Finance 2001 151, Society for Computational Economics.
- E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
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- Benjamin D. Keen & Evan F. Koenig, 2009. "How robust are popular models of nominal frictions?," Working Papers 0903, Federal Reserve Bank of Dallas.
- Keely, Louise C. & Tan, Chih Ming, 2008.
"Understanding preferences for income redistribution,"
Journal of Public Economics,
Elsevier, vol. 92(5-6), pages 944-961, June.
- Louise C. Keely & Chih Ming Tan, 2005. "Understanding Preferences For Income Redestribution," Discussion Papers Series, Department of Economics, Tufts University 0511, Department of Economics, Tufts University.
- Chih Ming Tan & Louise C. Keely, 2004. "Understanding preferences for income redistribution," Econometric Society 2004 North American Summer Meetings 611, Econometric Society.
- Sagarika Mishra & Sandeep Dhole, . "Least Squares Learning and the US Treasury Bill Rate," Financial Econometics Series 2013_05, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
- Sagarika Mishra, . "Do Agents Learn by Least Squares? The Evidence Provided by Changes in Monetary Policy," Financial Econometics Series 2012_09, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
- Jim Engle-Warnick, 2000.
"Inferring Strategies from Observed Actions: A Nonparametric Binary Tree Classification Approach,"
0004002, EconWPA, revised 02 Aug 2001.
- Engle-Warnick, Jim, 2003. "Inferring strategies from observed actions: a nonparametric, binary tree classification approach," Journal of Economic Dynamics and Control, Elsevier, vol. 27(11-12), pages 2151-2170, September.
- Jim Engle-Warnick, 2001. "Inferring Strategies from Observed Actions: A Nonparametric, Binary Tree Classification Approach," Economics Papers 2001-W14, Economics Group, Nuffield College, University of Oxford.
- Cinzia Alcidi , Alessandro Flamini, Andrea Fracasso, 2005. ""Taylored rules". Does one fit (or hide) all?," IHEID Working Papers 04-2005, Economics Section, The Graduate Institute of International Studies, revised Apr 2006.
- Fabio Milani, 2005.
"Learning, Monetary Policy Rules, and Macroeconomic Stability,"
- Milani, Fabio, 2008. "Learning, monetary policy rules, and macroeconomic stability," Journal of Economic Dynamics and Control, Elsevier, vol. 32(10), pages 3148-3165, October.
- Daniel Oliveira Cajueiro & Benjamin M. Tabak, 2010.
"Fluctuation Dynamics in US Interest Rates and the Role of Monetary Policy,"
Working Papers Series
206, Central Bank of Brazil, Research Department.
- Cajueiro, Daniel O. & Tabak, Benjamin M., 2010. "Fluctuation dynamics in US interest rates and the role of monetary policy," Finance Research Letters, Elsevier, vol. 7(3), pages 163-169, September.
- Cinzia Alcidi & Alessandro Flamini & Andrea Fracasso, 2011. "Policy Regime Changes, Judgment and Taylor rules in the Greenspan Era," Economica, London School of Economics and Political Science, vol. 78(309), pages 89-107, January.
- Karlyn Mitchell & Douglas Pearce, 2010. "Do Wall Street economists believe in Okun’s Law and the Taylor Rule?," Journal of Economics and Finance, Springer, vol. 34(2), pages 196-217, April.
- Atella, Vincenzo & Centoni, Marco & Cubadda, Gianluca, 2007.
"Technology shocks, structural breaks and the effects on the business cycle,"
Economics & Statistics Discussion Papers
esdp07041, University of Molise, Dept. SEGeS.
- Atella, Vincenzo & Centoni, Marco & Cubadda, Gianluca, 2008. "Technology shocks, structural breaks and the effects on the business cycle," Economics Letters, Elsevier, vol. 100(3), pages 392-395, September.
- Vincenzo Atella & Marco Centoni & Gianluca Cubadda, 2007. "Technology shocks, structural breaks and the effects on the business cycle," CEIS Research Paper 105, Tor Vergata University, CEIS.
- Saadi, Samir & Rahman, Abdul, 2008. "Evidence of non-stationary bias in scaling by square root of time: Implications for Value-at-Risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(3), pages 272-289, July.
- Alastair R. Hall & Denise R. Osborn & Nikolaos D. Sakkas, 2012.
"Inference on Structural Breaks using Information Criteria,"
Centre for Growth and Business Cycle Research Discussion Paper Series
173, Economics, The Univeristy of Manchester.
- Alastair R. Hall & Denise R. Osborn & Nikolaos Sakkas, 2013. "Inference on Structural Breaks using Information Criteria," Manchester School, University of Manchester, vol. 81, pages 54-81, October.
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