Markov-Switching Models with Evolving Regime-Specific Parameters: Are Postwar Booms or Recessions All Alike?

Yunjong Eo and Chang-Jin Kim
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Chang-Jin Kim: University of Washington

The Review of Economics and Statistics, 2016, vol. 98, issue 5, 940-949

Abstract: In this paper, we relax the assumption of constant regime-specific mean growth rates in Hamilton's (1989) two-state Markov-switching model of the business cycle. We introduce a random walk hierarchy prior for each regime-specific mean growth rate and impose a cointegrating relationship between the mean growth rates in recessionary and expansionary periods. By applying the proposed model to postwar U.S. real GDP growth (1947:Q4–2011:Q3), we uncover the evolving nature of the regime-specific mean growth rates of real output in the U.S. business cycle. Additional features of the postwar U.S. business cycle that we uncover include a steady decline in the long-run mean growth rate of real output over the postwar sample and an asymmetric error-correction mechanism when the economy deviates from its long-run equilibrium.

Date: 2016
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Working Paper: Markov-Switching Models with Evolving Regime-Specific Parameters: Are Post-War Booms or Recessions All Alike? (2012)
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