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State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications


  • Chang-Jin Kim

    () (University of Washington)

  • Charles R. Nelson

    () (University of Washington)


Both state-space models and Markov switching models have been highly productive paths for empirical research in macroeconomics and finance. This book presents recent advances in econometric methods that make feasible the estimation of models that have both features. One approach, in the classical framework, approximates the likelihood function; the other, in the Bayesian framework, uses Gibbs-sampling to simulate posterior distributions from data. The authors present numerous applications of these approaches in detail: decomposition of time series into trend and cycle, a new index of coincident economic indicators, approaches to modeling monetary policy uncertainty, Friedman's "plucking" model of recessions, the detection of turning points in the business cycle and the question of whether booms and recessions are duration-dependent, state-space models with heteroskedastic disturbances, fads and crashes in financial markets, long-run real exchange rates, and mean reversion in asset returns.

Suggested Citation

  • Chang-Jin Kim & Charles R. Nelson, 1999. "State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262112388, January.
  • Handle: RePEc:mtp:titles:0262112388

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    References listed on IDEAS

    1. Tornell, Aaron & Velasco, Andres, 2000. "Fixed versus flexible exchange rates: Which provides more fiscal discipline?," Journal of Monetary Economics, Elsevier, vol. 45(2), pages 399-436, April.
    2. Guillermo A. Calvo & Carmen M. Reinhart, 2000. "Fixing for Your Life," NBER Working Papers 8006, National Bureau of Economic Research, Inc.
    3. Guillermo A. Calvo & Carmen M. Reinhart, 2002. "Fear of Floating," The Quarterly Journal of Economics, Oxford University Press, vol. 117(2), pages 379-408.
    4. Ricardo Hausmann & Michael Gavin & Carmen Pagés & Ernesto H. Stein, 1999. "Financial Turmoil and the Choice of Exchange Rate Regime," IDB Publications (Working Papers) 1108, Inter-American Development Bank.
    5. Kenen, Peter B., 2000. "Currency areas, policy domains, and the institutionalization of fixed exchange rates," LSE Research Online Documents on Economics 20170, London School of Economics and Political Science, LSE Library.
    6. Giancarlo Corsetti & Paolo Pesenti, 2001. "Welfare and Macroeconomic Interdependence," The Quarterly Journal of Economics, Oxford University Press, vol. 116(2), pages 421-445.
    7. Obstfeld, Maurice & Rogoff, Kenneth, 2000. "New directions for stochastic open economy models," Journal of International Economics, Elsevier, vol. 50(1), pages 117-153, February.
    8. Miguel A Savastano & Paul R Masson & Sunil Sharma, 1997. "The Scope for Inflation Targeting in Developing Countries," IMF Working Papers 97/130, International Monetary Fund.
    9. Amartya Lahiri & Carlos A. Végh, 2002. "Living with the Fear of Floating: An Optimal Policy Perspective," NBER Chapters,in: Preventing Currency Crises in Emerging Markets, pages 663-704 National Bureau of Economic Research, Inc.
    10. Klein, Michael W. & Marion, Nancy P., 1997. "Explaining the duration of exchange-rate pegs," Journal of Development Economics, Elsevier, vol. 54(2), pages 387-404, December.
    11. Ball, Laurence, 1992. "Why does high inflation raise inflation uncertainty?," Journal of Monetary Economics, Elsevier, vol. 29(3), pages 371-388, June.
    12. Fischer, Stanley, 1993. "The role of macroeconomic factors in growth," Journal of Monetary Economics, Elsevier, vol. 32(3), pages 485-512, December.
    13. Svensson, Lars E. O., 2000. "Open-economy inflation targeting," Journal of International Economics, Elsevier, vol. 50(1), pages 155-183, February.
    14. David Romer, 1993. "Openness and Inflation: Theory and Evidence," The Quarterly Journal of Economics, Oxford University Press, vol. 108(4), pages 869-903.
    15. Richard Clarida & Jordi Gali & Mark Gertler, 2001. "Optimal Monetary Policy in Open versus Closed Economies: An Integrated Approach," American Economic Review, American Economic Association, vol. 91(2), pages 248-252, May.
    16. Sebastian Edwards & Miguel A. Savastano, 1999. "Exchange Rates in Emerging Economies: What Do We Know? What Do We Need to Know?," NBER Working Papers 7228, National Bureau of Economic Research, Inc.
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    More about this item


    regime switching; gibbs-sampling; posterior distributions; likelihood function;

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling


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