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Economic recovery forecasts under impacts of COVID-19

Author

Listed:
  • Teng, Bin
  • Wang, Sicong
  • Shi, Yufeng
  • Sun, Yunchuan
  • Wang, Wei
  • Hu, Wentao
  • Shi, Chaojun

Abstract

This paper proposes a joint model by combining the time-varying coefficient susceptible-infected-removal model with the hierarchical Bayesian vector autoregression model. This model establishes the relationship between several critical macroeconomic variables and pandemic transmission states and performs economic predictions under two predefined pandemic scenarios. The empirical part of the model predicts the economic recovery of several countries severely affected by COVID-19 (e.g., the United States and India, among others). Under the proposed pandemic scenarios, economies tend to recover rather than fall into prolonged recessions. The economy recovers faster in the scenario where the COVID-19 pandemic is controlled.

Suggested Citation

  • Teng, Bin & Wang, Sicong & Shi, Yufeng & Sun, Yunchuan & Wang, Wei & Hu, Wentao & Shi, Chaojun, 2022. "Economic recovery forecasts under impacts of COVID-19," Economic Modelling, Elsevier, vol. 110(C).
    • Handle: RePEc:eee:ecmode:v:110:y:2022:i:c:s0264999322000670
    DOI: 10.1016/j.econmod.2022.105821
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    References listed on IDEAS

    as
    1. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    2. Canova, Fabio & Hansen, Bruce E, 1995. "Are Seasonal Patterns Constant over Time? A Test for Seasonal Stability," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 237-252, July.
    3. Andrea Carriero & Todd E. Clark & Marcellino Massimiliano, 2020. "Nowcasting Tail Risks to Economic Activity with Many Indicators," Working Papers 20-13R2, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
    4. Altig, Dave & Baker, Scott & Barrero, Jose Maria & Bloom, Nicholas & Bunn, Philip & Chen, Scarlet & Davis, Steven J. & Leather, Julia & Meyer, Brent & Mihaylov, Emil & Mizen, Paul & Parker, Nicholas &, 2020. "Economic uncertainty before and during the COVID-19 pandemic," Journal of Public Economics, Elsevier, vol. 191(C).
    5. Umar, Zaghum & Kenourgios, Dimitris & Papathanasiou, Sypros, 2020. "The static and dynamic connectedness of environmental, social, and governance investments: International evidence," Economic Modelling, Elsevier, vol. 93(C), pages 112-124.
    6. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    7. George Kapetanios & Haroon Mumtaz & Ibrahim Stevens & Konstantinos Theodoridis, 2012. "Assessing the Economy‐wide Effects of Quantitative Easing," Economic Journal, Royal Economic Society, vol. 122(564), pages 316-347, November.
    8. Terrie Louise Walmsley & Adam Rose & Dan Wei, 2021. "Impacts on the U.S. macroeconomy of mandatory business closures in response to the COVID-19 Pandemic," Applied Economics Letters, Taylor & Francis Journals, vol. 28(15), pages 1293-1300, September.
    9. Zidong An & João Tovar Jalles & Prakash Loungani, 2018. "How well do economists forecast recessions?," International Finance, Wiley Blackwell, vol. 21(2), pages 100-121, June.
    10. Paul Malliet & Frédéric Reynès & Gissela Landa & Meriem Hamdi-Cherif & Aurélien Saussay, 2020. "Assessing Short-Term and Long-Term Economic and Environmental Effects of the COVID-19 Crisis in France," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 867-883, August.
    11. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2015. "Prior Selection for Vector Autoregressions," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 436-451, May.
    12. Warwick McKibbin & Roshen Fernando, 2021. "The Global Macroeconomic Impacts of COVID-19: Seven Scenarios," Asian Economic Papers, MIT Press, vol. 20(2), pages 1-30, Summer.
    13. Akhtaruzzaman, Md & Boubaker, Sabri & Lucey, Brian M. & Sensoy, Ahmet, 2021. "Is gold a hedge or a safe-haven asset in the COVID–19 crisis?," Economic Modelling, Elsevier, vol. 102(C).
    14. Foroni, Claudia & Marcellino, Massimiliano & Stevanovic, Dalibor, 2022. "Forecasting the Covid-19 recession and recovery: Lessons from the financial crisis," International Journal of Forecasting, Elsevier, vol. 38(2), pages 596-612.
    15. Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
    16. repec:zbw:bofitp:2020_012 is not listed on IDEAS
    17. Daehler, Timo B. & Aizenman, Joshua & Jinjarak, Yothin, 2021. "Emerging markets sovereign CDS spreads during COVID-19: Economics versus epidemiology news," Economic Modelling, Elsevier, vol. 100(C).
    18. Ftiti, Zied & Ben Ameur, Hachmi & Louhichi, Waël, 2021. "Does non-fundamental news related to COVID-19 matter for stock returns? Evidence from Shanghai stock market," Economic Modelling, Elsevier, vol. 99(C).
    19. Funke, Michael & Tsang, Andrew, 2020. "The People’s bank of China’s response to the coronavirus pandemic: A quantitative assessment," Economic Modelling, Elsevier, vol. 93(C), pages 465-473.
    20. repec:hal:spmain:info:hdl:2441/6neh4df2kq9orrjiscv6839f6n is not listed on IDEAS
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