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Business Cycles around the Globe: A Regime Switching Approach

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  • Sumru Altug

    (Koc University)

  • Melike Bildirici

Abstract

This paper characterizes business cycle phenomena in a sample of 22 developed and developing economies using a univariate Markov regime switching approach. It examines the efficacy of this approach for detecting business cycle turning points and for identifying distinct economic regimes for each country in question. The paper also provides a comparison of the business cycle turning points implied by this study and those derived in other studies and by other methods. Our findings document the importance of heterogeneity of individual countries’ experiences. We also argue that consideration of a large and diverse group of countries provides an alternative perspective on the co-movement of aggregate economic activity worldwide.

Suggested Citation

  • Sumru Altug & Melike Bildirici, 2010. "Business Cycles around the Globe: A Regime Switching Approach," Koç University-TUSIAD Economic Research Forum Working Papers 1009, Koc University-TUSIAD Economic Research Forum.
  • Handle: RePEc:koc:wpaper:1009
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    3. Adél Bosch & Franz Ruch, 2013. "An Alternative Business Cycle Dating Procedure for South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 81(4), pages 491-516, December.
    4. Bildirici, Melike E. & Gökmenoğlu, Seyit M., 2017. "Environmental pollution, hydropower energy consumption and economic growth: Evidence from G7 countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 68-85.
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    6. Sumru Altug & Serdar Kabaca & Meltem Poyraz, 2011. "Search Frictions, Financial Frictions and Labor Market Fluctuations in Emerging Economies," Koç University-TUSIAD Economic Research Forum Working Papers 1136, Koc University-TUSIAD Economic Research Forum.
    7. Sumru Altug & Bilin Neyapti & Mustafa Emin, 2012. "Institutions and Business Cycles," International Finance, Wiley Blackwell, vol. 15(3), pages 347-366, December.
    8. Jonathan Olusegun Famoroti & Omolade Adeleke, 2023. "Analysis of Wamz’s Economic Growth and Monetary Policy Using the Markov Switching Approach," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(4), pages 142-156, April.
    9. Olfa Manai Daboussi & Amira Majoul, 2014. "The transmission effects of the subprime crisis to emerging markets: A global VAR analysis," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 4(9), pages 427-438, September.
    10. Canova, Fabio & Ciccarelli, Matteo, 2012. "ClubMed? Cyclical fluctuations in the Mediterranean basin," Journal of International Economics, Elsevier, vol. 88(1), pages 162-175.
    11. Sumru Altug & Erhan Uluceviz, 2011. "Leading Indicators of Real Activity and Inflation for Turkey, 2001-2010," Koç University-TUSIAD Economic Research Forum Working Papers 1134, Koc University-TUSIAD Economic Research Forum.
    12. Ozge Kandemir Kocaaslan, 2016. "Regime Nonstationarity and Nonlinearity in the Turkish Output Level," International Journal of Economics and Financial Issues, Econjournals, vol. 6(2), pages 503-507.
    13. Ozdemir, Dicle, 2019. "Sectoral Business Cycle Asymmetries and Regime Shifts: Evidence from Turkey," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 26(2), December.
    14. Harald Schmidbauer & Angi Rösch & Erhan Uluceviz, 2012. "Connectedness Cycles in Equity Markets: A Wavelet Approach," EcoMod2012 4502, EcoMod.

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    More about this item

    Keywords

    Markov switching approach; business cycles; turning point analysis; nonparametric modelling;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • 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

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