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The impact of COVID‐19 pandemic on the Thai economy and the effectiveness of monetary policy: A Bayesian DSGE model approach

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  • Samuel Kwesi Dunyo
  • Saran Sarntisart

Abstract

This study estimates a medium‐scale dynamic stochastic general equilibrium model for the Thai economy to evaluate the impact of the COVID‐19 pandemic containment policy on key macroeconomic aggregates. The shock to labor supply is considered as the main transmission channel. The paper discussed the role of monetary policy in regard to economic recovery and also identified the dominant shocks driving the business cycle. Thai quarterly series from 2011Q1 to 2021Q2 is used for the Bayesian estimation of the model. Though the pandemic shock caused a sharp decline in output, consumption and investment, the results suggest a fast recovery in the growth rates of the variables in about 2.5 years. At the same time, the dominant shocks that account for output variation in the medium to long term are investment, labor supply and productivity shocks. Monetary policy is effective in shortening the recovery due to its impact on private investment. The key drivers of Thai household consumption in the long run are investment, labor supply and productivity shocks. On average, the investment shock appears to be the key driver of the business cycle at all horizons.

Suggested Citation

  • Samuel Kwesi Dunyo & Saran Sarntisart, 2024. "The impact of COVID‐19 pandemic on the Thai economy and the effectiveness of monetary policy: A Bayesian DSGE model approach," Asian Economic Journal, East Asian Economic Association, vol. 38(1), pages 3-34, March.
    • Handle: RePEc:bla:asiaec:v:38:y:2024:i:1:p:3-34
    DOI: 10.1111/asej.12316
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    1. Jordi Galí & Frank Smets & Rafael Wouters, 2012. "Unemployment in an Estimated New Keynesian Model," NBER Macroeconomics Annual, University of Chicago Press, vol. 26(1), pages 329-360.
    2. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    3. Pierre-Olivier Gourinchas & Ṣebnem Kalemli-Özcan & Veronika Penciakova & Nick Sander, 2020. "SME Failures Under Large Liquidity Shocks: An Application to the COVID-19 Crisis," NBER Working Papers 27877, National Bureau of Economic Research, Inc.
    4. Dingel, Jonathan I. & Neiman, Brent, 2020. "How many jobs can be done at home?," Journal of Public Economics, Elsevier, vol. 189(C).
    5. Edward P. Herbst & Frank Schorfheide, 2016. "Bayesian Estimation of DSGE Models," Economics Books, Princeton University Press, edition 1, number 10612.
    6. Veronica Guerrieri & Guido Lorenzoni & Ludwig Straub & Iván Werning, 2022. "Macroeconomic Implications of COVID-19: Can Negative Supply Shocks Cause Demand Shortages?," American Economic Review, American Economic Association, vol. 112(5), pages 1437-1474, May.
    7. Gelain, Paolo & Ilbas, Pelin, 2017. "Monetary and macroprudential policies in an estimated model with financial intermediation," Journal of Economic Dynamics and Control, Elsevier, vol. 78(C), pages 164-189.
    8. Kamphol Panyagometh, 2020. "The Effects of Pandemic Event on the Stock Exchange of Thailand," Economies, MDPI, vol. 8(4), pages 1-22, October.
    9. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    10. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    11. Faria-e-Castro, Miguel, 2021. "Fiscal policy during a pandemic," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
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