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Measuring business cycles intra-synchronization in us: a regime-switching interdependence framework

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  • Danilo Leiva-Leon

    (Banco de España)

Abstract

This paper proposes a Markov-switching framework to endogenously identify periods where economies are more likely to (i) synchronously enter recessionary and expansionary phases, and (ii) follow independent business cycles. The reliability of the framework is validated with simulated data in Monte Carlo experiments. The framework is applied to assess the timevarying intra-country synchronization in US. The main results report substantial changes over time in the cyclical affiliation patterns of US states, and show that the more similar the economic structures of states, the higher the correlation between their business cycles. A synchronization-based network analysis discloses a change in the propagation pattern of aggregate contractionary shocks across states, suggesting that the US has become more internally synchronized since the early 1990s.

Suggested Citation

  • Danilo Leiva-Leon, 2017. "Measuring business cycles intra-synchronization in us: a regime-switching interdependence framework," Working Papers 1726, Banco de España.
  • Handle: RePEc:bde:wpaper:1726
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    Cited by:

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    2. Michael T. Owyang & Jeremy Piger & Daniel Soques, 2022. "Contagious switching," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 415-432, March.
    3. Maximo Camacho & Fernando Soto, 2018. "Consumer confidence’s boom and bust in Latin America," Working Papers 18/02, BBVA Bank, Economic Research Department.
    4. repec:zbw:bofitp:2017_021 is not listed on IDEAS
    5. Mattia Guerini & Duc Thi Luu & Mauro Napoletano, 2023. "Synchronization patterns in the European Union," Applied Economics, Taylor & Francis Journals, vol. 55(18), pages 2038-2059, April.
    6. repec:spo:wpmain:info:hdl:2441/5q8fnecj1u87ka099dc571bhi2 is not listed on IDEAS
    7. Mariarosaria Comunale, 2017. "Synchronicity of real and financial cycles and structural characteristics in EU countries," CEIS Research Paper 414, Tor Vergata University, CEIS, revised 25 Sep 2017.
    8. Funke, Michael & Leiva-Leon, Danilo & Tsang, Andrew, 2019. "Mapping China’s time-varying house price landscape," Regional Science and Urban Economics, Elsevier, vol. 78(C).
    9. repec:hal:spmain:info:hdl:2441/5q8fnecj1u87ka099dc571bhi2 is not listed on IDEAS
    10. Liu, Dayu & Wang, Qiaoru & Song, Yang, 2020. "China’s business cycles at the provincial level: National synchronization, interregional coordination and provincial idiosyncrasy," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 629-650.
    11. Shinya Fukui, 2020. "Business Cycle Spatial Synchronization: Measuring a Synchronization Parameter," Discussion Papers 2009, Graduate School of Economics, Kobe University.
    12. Camacho, Maximo & Leiva-Leon, Danilo, 2019. "The Propagation Of Industrial Business Cycles," Macroeconomic Dynamics, Cambridge University Press, vol. 23(1), pages 144-177, January.
    13. Maximo Camacho & Angela Caro & German Lopez-Buenache, 2020. "The two-speed Europe in business cycle synchronization," Empirical Economics, Springer, vol. 59(3), pages 1069-1084, September.
    14. María Dolores Gadea-Rivas & Ana Gómez-Loscos & Danilo Leiva-Leon, 2017. "The evolution of regional economic interlinkages in Europe," Working Papers 1705, Banco de España.
    15. Chang, Kuang-Liang, 2022. "Do economic policy uncertainty indices matter in joint volatility cycles between U.S. and Japanese stock markets?," Finance Research Letters, Elsevier, vol. 47(PA).
    16. Dalibor Stevanovic & Stéphane Surprenant & Rachidi Kotchoni, 2019. "Identification des points de retournement du cycle économique au Canada," CIRANO Project Reports 2019rp-05, CIRANO.
    17. Guisinger, Amy Y. & Owyang, Michael T. & Soques, Daniel, 2024. "Industrial Connectedness and Business Cycle Comovements," Econometrics and Statistics, Elsevier, vol. 29(C), pages 132-149.
    18. Yong Song & Tomasz Wo'zniak, 2020. "Markov Switching," Papers 2002.03598, arXiv.org.
    19. Gadea-Rivas, María Dolores & Gómez-Loscos, Ana & Leiva-Leon, Danilo, 2019. "Increasing linkages among European regions. The role of sectoral composition," Economic Modelling, Elsevier, vol. 80(C), pages 222-243.

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    More about this item

    Keywords

    business cycles; Markov-Switching; network analysis;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • 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
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics

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