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Multivariate Markov Switching Common Factor Models for the UK

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  • Terence C. Mills
  • Ping Wang

Abstract

We estimate a model that incorporates two key features of business cycles, comovement among economic variables and switching between regimes of boom and slump, to quarterly UK data for the last four decades. A common factor, interpreted as a composite indicator of coincident variables, and estimates of turning points from one regime to the other, are extracted from the data by using the Kalman filter and maximum likelihood estimation. Both comovement and regime switching are found to be important features of the UK business cycle. The composite indicator produces a sensible representation of the cycle and the estimated turning points agree fairly well with independently determined chronologies. These estimates are sharper than those produced by a univariate Markov switching model of GDP alone. A fairly typical stylized fact of business cycles is confirmed by this model – recessions are steeper and shorter than recoveries.

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  • Terence C. Mills & Ping Wang, 2003. "Multivariate Markov Switching Common Factor Models for the UK," Bulletin of Economic Research, Wiley Blackwell, vol. 55(2), pages 177-193, April.
    • Handle: RePEc:bla:buecrs:v:55:y:2003:i:2:p:177-193
    DOI: 10.1111/1467-8586.00168
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    References listed on IDEAS

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    1. Margherita Velucchi, 2009. "Regime switching: Italian financial markets over a century," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(1), pages 67-86, March.

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