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Business Cycle Turning Points, A New Coincident Index, And Tests Of Duration Dependence Based On A Dynamic Factor Model With Regime Switching

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Author Info
Chang-Jin Kim
Charles R. Nelson

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Abstract

The synthesis of the dynamic factor model of Stock and Watson (1989) and the regime-switching model of Hamilton (1989) proposed by Diebold and Rudebusch (1996) potentially encompasses both features of the business cycle identified by Burns and Mitchell (1946): (1) comovement among economic variables through the cycle and (2) nonlinearity in its evolution. However, maximum-likelihood estimation has required approximation. Recent advances in multimove Gibbs sampling methodology open the way to approximation-free inference in such non-Gaussian, nonlinear models. This paper estimates the model for U.S. data and attempts to address three questions: Are both features of the business cycle empirically relevant? Might the implied new index of coincident indicators be a useful one in practice? Do the resulting estimates of regime switches show evidence of duration dependence? The answers to all three would appear to be yes. © 2000 by the President and Fellows of Harvard College and the Massachusetts Institute of Technolog

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Publisher Info
Article provided by MIT Press in its journal The Review of Economics and Statistics.

Volume (Year): 80 (1998)
Issue (Month): 2 (May)
Pages: 188-201
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Handle: RePEc:tpr:restat:v:80:y:1998:i:2:p:188-201

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  1. Michael T. Owyang, 2002. "Modeling Volcker as a non-absorbing state: agnostic identification of a Markov-switching VAR," Working Papers 2002-018, Federal Reserve Bank of St. Louis. [Downloadable!]
  2. Sarantis Tsiaplias, 2009. "Examining Feedback, Momentum and Overreaction in National Equity Markets," Melbourne Institute Working Paper Series wp2009n18, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne. [Downloadable!]
  3. Akifumi Isogai & Satoru Kanoh & Toshifumi Tokunaga, 2004. "An Extension of the Markov-Switching Model with Time-Varying Transition Probabilities: Bull-Bear Analysis of the Japanese Stock Market," Hi-Stat Discussion Paper Series d04-43, Institute of Economic Research, Hitotsubashi University. [Downloadable!]
  4. Michael T. Owyang & Jeremy M. Piger & Howard J. Wall, 2004. "Business cycle phases in U.S. states," Working Papers 2003-011, Federal Reserve Bank of St. Louis. [Downloadable!]
    Other versions:
  5. Michael J. Dueker & Andreas M. Fischer, 1997. "The FOMC in 1996: "watchful waiting"," Review, Federal Reserve Bank of St. Louis, issue Jul, pages 7-23. [Downloadable!]
  6. Francis X. Diebold & Glenn D. Rudebusch, 2001. "Five questions about business cycles," Economic Review, Federal Reserve Bank of San Francisco, pages 1-15. [Downloadable!]
  7. Chang-Jin Kim & Charles Nelson, 1999. "A Bayesian Approach to Testing for Markov Switching in Univariate and Dynamic Factor Models," Discussion Papers in Economics at the University of Washington 0035, Department of Economics at the University of Washington. [Downloadable!]
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  8. Mototsugu Shintani, 2003. "Nonlinear Forecasting Analysis Using Diffusion Indexes: An Application to Japan," Working Papers 0322, Department of Economics, Vanderbilt University, revised Apr 2004. [Downloadable!]
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  9. Rodriguez Gabriel, 2007. "Application of Three Alternative Approaches to Identify Business Cycles in Peru," Working Papers 2007-007, Banco Central de Reserva del Perú. [Downloadable!]
  10. John M. Maheu & Thomas H. McCurdy, 2001. "Nonlinear Features of Realized FX Volatility," CIRANO Working Papers 2001s-42, CIRANO. [Downloadable!]
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  11. Toshiya Ishikawa, 2004. "Technology Diffusion and Business Cycle Asymmetry," DEGIT Conference Papers c009_016, DEGIT, Dynamics, Economic Growth, and International Trade. [Downloadable!]
  12. Fabio Canova & Matteo Ciccarelli, 2007. "Estimating Multi-country VAR models," Discussion Papers 7_2007, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy. [Downloadable!]
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  13. Francis X. Diebold, 1997. "The Past, Present, and Future of Macroeconomic Forecasting," NBER Working Papers 6290, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  14. Michael J. Dueker & Martin Sola, 2008. "Multivariate Markov switching with weighted regime determination: giving France more weight than Finland," Working Papers 2008-001, Federal Reserve Bank of St. Louis. [Downloadable!]
  15. Gary A. Wagner & Erick Elder, 2007. "How well are the states of the Eighth Federal Reserve District prepared for the next recession?," Regional Economic Development, Federal Reserve Bank of St. Louis, issue Nov, pages 75-87. [Downloadable!]
  16. Mark W. French, 2005. "A nonlinear look at trend MFP growth and the business cycle: result from a hybrid Kalman/Markov switching model," Finance and Economics Discussion Series 2005-12, Board of Governors of the Federal Reserve System (U.S.). [Downloadable!]
  17. Michael J. Dueker & Stephen J. Spurr & Ada K. Jacox & David E. Kalist, 2005. "The practice boundaries of advanced practice nurses: an economic and legal analysis," Working Papers 2005-071, Federal Reserve Bank of St. Louis. [Downloadable!]
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  18. Chang-Jin Kim & Charles Nelson, 1998. "A Bayesian Approach to Testing for Markov Switching in Univariate and Dynamic Factor Models," Working Papers 0059, University of Washington, Department of Economics. [Downloadable!]
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