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Output Fluctuations in the G-7: An Unobserved Components Approach

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This paper proposes a multivariate unobserved components model to simultaneously decompose the real GDP for each of the G-7 countries into their respective trend and cycle components. In contrast to previous literature, our model allows for explicit correlation between all the contemporaneous trend and cycle shocks. This approach thus allows us to distinguish cross-country correlation driven by shared trend shocks from correlation between the cycle shocks. We find that fluctuations in output are primarily due to permanent shocks for all of the G-7 countries. We also find that common restrictions on the correlations between trend and cycle shocks are rejected by the data. With regards to cross-country relationships, we find some countries share more transitory shocks, such as Canada and the US, whereas others, such as Germany and France, share more permanent shocks.

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  • Sinchan Mitra & Tara M. Sinclair, "undated". "Output Fluctuations in the G-7: An Unobserved Components Approach," MRG Discussion Paper Series 2509, School of Economics, University of Queensland, Australia.
  • Handle: RePEc:qld:uqmrg6:25
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    3. Li, Mengheng & Mendieta-Muñoz, Ivan, 2024. "Dynamic hysteresis effects," Journal of Economic Dynamics and Control, Elsevier, vol. 163(C).
    4. Morley, James & Panovska, Irina B., 2020. "Is Business Cycle Asymmetry Intrinsic In Industrialized Economies?," Macroeconomic Dynamics, Cambridge University Press, vol. 24(6), pages 1403-1436, September.
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    6. Max Soloschenko & Enzo Weber, 2021. "Trend-Cycle Interactions and the Subprime Crisis: Analysis of US and Canadian Output," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(2), pages 109-128, November.
    7. Arabinda Basistha & Richard Startz, 2024. "Measuring persistent global economic factors with output, commodity price, and commodity currency data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(7), pages 2860-2885, November.
    8. Manuel Gonzalez-Astudillo, 2017. "GDP Trend-cycle Decompositions Using State-level Data," Finance and Economics Discussion Series 2017-051, Board of Governors of the Federal Reserve System (U.S.).
    9. Michael Fritsch & Alina Sorgner & Michael Wyrwich & Evguenii Zazdravnykh, 2016. "Historical shocks and persistence of economic activity: evidence from a unique natural experiment," HSE Working papers WP BRP 143/EC/2016, National Research University Higher School of Economics.
    10. James McNeil & Gregor W. Smith, 2023. "The All‐Gap Phillips Curve," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(2), pages 269-282, April.
    11. Goto, Eiji, 2023. "International comovement of r∗: A case study of the G7 countries," Journal of Empirical Finance, Elsevier, vol. 74(C).
    12. MeiChi Huang & Tzu-Chien Wang, 2015. "Housing-bubble vulnerability and diversification opportunities during housing boom–bust cycles: evidence from decomposition of asset price returns," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 605-637, March.
    13. James Morley & Irina B. Panovska & Tara M. Sinclair, 2014. "Testing Stationarity for Unobserved Components Models," Discussion Papers 2012-41B, School of Economics, The University of New South Wales.
    14. Melolinna, Marko & Tóth, Máté, 2019. "Trend and cycle shocks in Bayesian unobserved components models for UK productivity," Bank of England working papers 826, Bank of England.
    15. Ivan Mendieta-Munoz & Mengheng Li, 2019. "The Multivariate Simultaneous Unobserved Compenents Model and Identification via Heteroskedasticity," Working Paper Series, Department of Economics, University of Utah 2019_06, University of Utah, Department of Economics.
    16. Alexander Yu. Apokin & Irina B. Ipatova, 2016. "Structural Breaks in Potential GDP Of Three Major Economies: Just Impaired Credit or the “New Normal”?," HSE Working papers WP BRP 142/EC/2016, National Research University Higher School of Economics.
    17. James Morley & Irina B. Panovska & Tara M. Sinclair, 2013. "Testing Stationarity for Unobserved Components Models," Discussion Papers 2012-41A, School of Economics, The University of New South Wales.
    18. Sinchan Mitra & Tara M. Sinclair, "undated". "Macroeconomic Fluctuations in Emerging Economies: An Unobserved Components Approach," MRG Discussion Paper Series 3911, School of Economics, University of Queensland, Australia.
    19. Stephan, Gaëtan & Lecumberry, Julien, 2015. "The German unemployment since the Hartz reforms: Permanent or transitory fall?," Economics Letters, Elsevier, vol. 136(C), pages 49-54.
    20. Gaëtan Stephan & Julien Lecumberry, 2015. "The German unemployment since the Hartz reforms: Permanent or transitory fall?," Post-Print halshs-01238494, HAL.

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    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
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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