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Macroeconomic Effects of COVID-19 in a Commodity-Exporting Economy: Evidence from Mongolia

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  • Doojav, Gan-Ochir

    (Asian Development Bank Institute)

Abstract

We examine macroeconomic effects and transmission mechanisms of COVID-19 in Mongolia, a developing and commodity-exporting economy, by estimating a Bayesian structural vector autoregression on quarterly data. We find strong cross-border spillover effects of COVID-19. Our estimates suggest that the People’s Republic of China’s GDP and copper price shocks account, respectively, for three-fifths and one-fifth of the drop in real GDP in 2020Q1. The recovery observed for Q2 2020–Q1 2021 is primarily due to positive external shocks. However, disruptions in credit and labor markets have been sustained in the economy. Two-thirds of the fall in employment in Q1 2021 could be attributed to adverse labor demand shocks. We also reveal novel empirical evidence for the balance sheet channel of the exchange rate, the financial accelerator effects, and an indirect channel of wage shock to consumer price passing through bank credit.

Suggested Citation

  • Doojav, Gan-Ochir, 2022. "Macroeconomic Effects of COVID-19 in a Commodity-Exporting Economy: Evidence from Mongolia," ADBI Working Papers 1337, Asian Development Bank Institute.
  • Handle: RePEc:ris:adbiwp:1337
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    1. Jongrim Ha & M. Ayhan Kose & Franziska Ohnsorge, 2021. "Inflation During the Pandemic: What Happened? What is Next?," Koç University-TUSIAD Economic Research Forum Working Papers 2108, Koc University-TUSIAD Economic Research Forum.
    2. Viktoria Hnatkovska & Amartya Lahiri & Carlos A. Vegh, 2016. "The Exchange Rate Response to Monetary Policy Innovations," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(2), pages 137-181, April.
    3. Seydou Coulibaly, 2021. "COVID‐19 policy responses, inflation and spillover effects in the West African Economic and Monetary Union," African Development Review, African Development Bank, vol. 33(S1), pages 139-151, April.
    4. Anna Sznajderska & Mariusz Kapuściński, 2020. "Macroeconomic spillover effects of the Chinese economy," Review of International Economics, Wiley Blackwell, vol. 28(4), pages 992-1019, September.
    5. Sawada, Yasuyuki & Sumulong, Lea R., 2021. "Macroeconomic Impact of COVID-19 in Developing Asia," ADBI Working Papers 1251, Asian Development Bank Institute.
    6. David Jacobs & Vanessa Rayner, 2012. "The Role of Credit Supply in the Australian Economy," RBA Research Discussion Papers rdp2012-02, Reserve Bank of Australia.
    7. Manfred Kremer, 2016. "Macroeconomic effects of financial stress and the role of monetary policy: a VAR analysis for the euro area," International Economics and Economic Policy, Springer, vol. 13(1), pages 105-138, January.
    8. Gordana Djurovic & Vasilije Djurovic & Martin M. Bojaj, 2020. "The macroeconomic effects of COVID-19 in Montenegro: a Bayesian VARX approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-16, December.
    9. 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.
    10. Linde, Jesper & Adrian, Tobias & Erceg, Christopher J. & Zabczyk, Pawel & Zhou, Jianping, 2020. "A Quantitative Model for the Integrated Policy Framework," CEPR Discussion Papers 15065, C.E.P.R. Discussion Papers.
    11. Michele Lenza & Giorgio E. Primiceri, 2020. "How to Estimate a VAR after March 2020," NBER Working Papers 27771, National Bureau of Economic Research, Inc.
    12. Kadiyala, K Rao & Karlsson, Sune, 1997. "Numerical Methods for Estimation and Inference in Bayesian VAR-Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 99-132, March-Apr.
    13. Bobeica, Elena & Hartwig, Benny, 2021. "The COVID-19 shock and challenges for time series models," Working Paper Series 2558, European Central Bank.
    14. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2020. "COVID-19 and The Macroeconomic Effects of Costly Disasters," NBER Working Papers 26987, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Doojav, Gan-Ochir & Luvsannyam, Davaajargal & Enkh-Amgalan, Elbegjargal, 2023. "Effects of global liquidity and commodity market shocks in a commodity-exporting developing economy," Journal of Commodity Markets, Elsevier, vol. 30(C).
    2. Yugang He, 2023. "Unraveling the COVID-19 Pandemic’s Impact on South Korea’s Macroeconomy: Unearthing Novel Transmission Channels within the Energy Sector and Production Technologies," Energies, MDPI, vol. 16(9), pages 1-10, April.

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    More about this item

    Keywords

    COVID-19; demand and supply shocks; macroeconomic fluctuations; structural vector autoregression; Bayesian analysis;
    All these keywords.

    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
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development

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