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A multivariate unobserved components model of cyclical activity

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Abstract

This paper presents results from the estimation of a multivariate unobserved components model of cyclical activity. The model is motivated by a desire to let the data speak as much as possible, and hence to avoid imposing ad hoc and unjustifiable assumptions about trends and cycles. Estimated over the period 1970:1 to 1999:3 via the Kalman filter and maximum likelihood, the model identifies a common, trend-reverting component to real output, unemployment and capacity utilisation. The structure of the model allows an interesting factor interpretation to be put on the estimate of the output gap. These estimates are consistent with priors, but there is no consistent match to any one simple smoother such as the HP filter.

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  • Alasdair Scott, 2000. "A multivariate unobserved components model of cyclical activity," Reserve Bank of New Zealand Discussion Paper Series DP2000/04, Reserve Bank of New Zealand.
    • Handle: RePEc:nzb:nzbdps:2000/04
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    Cited by:

    1. Tatiana Cesaroni, 2011. "The cyclical behavior of the Italian business survey data," Empirical Economics, Springer, vol. 41(3), pages 747-768, December.
    2. Gian Luigi Mazzi & Frédéric Reynès & Matthieu Lemoine & Paola Veroni, 2008. "Real Time Estimation of Potential Output and Output Gap for the Euro-Area : Comparing Production Function with Unobserved Components and SVAR Approaches," SciencePo Working papers Main hal-01027422, HAL.
    3. Philippe Moës, 2006. "The production function approach to the Belgian output gap, estimation of a multivariate structural time series model," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 49(1), pages 59-91.
    4. repec:spo:wpmain:info:hdl:2441/7349 is not listed on IDEAS
    5. Nepal Rastra Bank, 2017. "Potential Output and Output Gap Estimates for Nepal," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 29(2), pages 1-14, October.
    6. repec:hal:spmain:info:hdl:2441/7349 is not listed on IDEAS
    7. Chalmovianský, Jakub & Němec, Daniel, 2022. "Assessing uncertainty of output gap estimates: Evidence from Visegrad countries," Economic Modelling, Elsevier, vol. 116(C).
    8. repec:spo:wpecon:info:hdl:2441/7349 is not listed on IDEAS
    9. Miroslav Plašil, 2011. "Potenciální produkt, mezera výstupu a míra nejistoty spojená s jejich určením při použití Hodrick-Prescottova filtru [Potential Product, Output Gap and Uncertainty Rate Associated with Their Determ," Politická ekonomie, Prague University of Economics and Business, vol. 2011(4), pages 490-507.
    10. L Christopher Plantier & Dean Scrimgeour, 2002. "Estimating a Taylor Rule for New Zealand with a time-varying neutral real rate," Reserve Bank of New Zealand Discussion Paper Series DP2002/06, Reserve Bank of New Zealand.
    11. repec:hal:wpspec:info:hdl:2441/7349 is not listed on IDEAS
    12. L Christopher Plantier & Ozer Karagedikli, 2005. "Do so-called multivariate filters have better revision properties? An empirical analysis," Computing in Economics and Finance 2005 250, Society for Computational Economics.
    13. Lambert N'galadjo Bamba, 2004. "Analyse du Processus de Convergence Dans la Zone UEMOA," WIDER Working Paper Series RP2004-18, World Institute for Development Economic Research (UNU-WIDER).

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    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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