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Macroeconomic forecasting in Poland: lessons from the external shocks

Author

Listed:
  • Jakub Rybacki

    (Polish Economic Institute; University of Warsaw)

  • Michał Gniazdowski

    (Independent author)

Abstract

The aim of this paper is to analyse the forecast errors of Polish professional forecasters under the external shock of the COVID-19 crisis in 2020-based on the Parkiet competition. This analysis shows that after the initial disruption related to the imposed lockdown in March and April, commercial economists were able to lower their forecasts errors of the industrial production and retail sales. On the other hand, a far worse performance has been seen in the case of the market variable; either the size of errors or the disagreement were elevated throughout the whole of 2020. Furthermore, long- -term forecasts that were produced during the first year of the pandemic have been characterized with visible inconsistencies, i.e. forecasts of economic growth were similar when forecasters either assumed a strong increase in unemployment or when they did not. Economists made the biggest error in case of labour market forecasting. This phenomenon is likely related to the scarcity of information in the public statistics. Such problems are likely to repeat in the case of other external shocks, i.e. the forthcoming energy crisis.

Suggested Citation

  • Jakub Rybacki & Michał Gniazdowski, 2023. "Macroeconomic forecasting in Poland: lessons from the external shocks," Bank i Kredyt, Narodowy Bank Polski, vol. 54(1), pages 45-64.
    • Handle: RePEc:nbp:nbpbik:v:53:y:2023:i:1:p:45-64
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    References listed on IDEAS

    as
    1. Dovern, Jonas & Weisser, Johannes, 2011. "Accuracy, unbiasedness and efficiency of professional macroeconomic forecasts: An empirical comparison for the G7," International Journal of Forecasting, Elsevier, vol. 27(2), pages 452-465.
    2. David Cronin & Kieran McQuinn, 2021. "Fiscal policy and growth forecasts in the EU: are official forecasters still misestimating fiscal multipliers?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 157(3), pages 453-462, August.
    3. Frenkel, Michael & Mauch, Matthias & Rülke, Jan-Christoph, 2020. "Do forecasters of major exchange rates herd?," Economic Modelling, Elsevier, vol. 84(C), pages 214-221.
    4. Jakub Rybacki, 2021. "Polish GDP forecast errors: a tale of inefficiency," Bank i Kredyt, Narodowy Bank Polski, vol. 52(2), pages 123-142.
    5. Ager, P. & Kappler, M. & Osterloh, S., 2009. "The accuracy and efficiency of the Consensus Forecasts: A further application and extension of the pooled approach," International Journal of Forecasting, Elsevier, vol. 25(1), pages 167-181.
    6. Lawrence, Michael & Goodwin, Paul & O'Connor, Marcus & Onkal, Dilek, 2006. "Judgmental forecasting: A review of progress over the last 25 years," International Journal of Forecasting, Elsevier, vol. 22(3), pages 493-518.
    7. Kosuke Imai & Marc Ratkovic, 2014. "Covariate balancing propensity score," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 76(1), pages 243-263, January.
    8. 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).
    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. Michael P. Keane & David E. Runkle, 1989. "Are economic forecasts rational?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 13(Spr), pages 26-33.
    11. Nordhaus, William D, 1987. "Forecasting Efficiency: Concepts and Applications," The Review of Economics and Statistics, MIT Press, vol. 69(4), pages 667-674, November.
    12. Döpke, Jörg & Fritsche, Ulrich & Müller, Karsten, 2019. "Has macroeconomic forecasting changed after the Great Recession? Panel-based evidence on forecast accuracy and forecaster behavior from Germany," Journal of Macroeconomics, Elsevier, vol. 62(C).
    13. 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.
    14. Jakub Mućk & Michał Rubaszek & Karol Szafranek, 2021. "A note on the heterogenous economic effects of COVID-19 on GDP via the sectoral structure," Bank i Kredyt, Narodowy Bank Polski, vol. 52(3), pages 253-266.
    15. 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.
    16. Yoichi Tsuchiya, 2021. "Crises, market shocks, and herding behavior in stock price forecasts," Empirical Economics, Springer, vol. 61(2), pages 919-945, August.
    17. Eicher, Theo S. & Kuenzel, David J. & Papageorgiou, Chris & Christofides, Charis, 2019. "Forecasts in times of crises," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1143-1159.
    18. Scotti, Chiara, 2016. "Surprise and uncertainty indexes: Real-time aggregation of real-activity macro-surprises," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 1-19.
    19. Michal Brzoza-Brzezina & Marcin Kolasa & Krzysztof Makarski, 2022. "Monetary Policy and COVID-19," International Journal of Central Banking, International Journal of Central Banking, vol. 18(1), pages 41-80, March.
    20. Michele Lenza & Giorgio E. Primiceri, 2020. "How to Estimate a VAR after March 2020," NBER Working Papers 27771, National Bureau of Economic Research, Inc.
    21. Leon Podkaminer, 2021. "Dynamic Stochastic General Equilibrium: macroeconomics at a dead end," Bank i Kredyt, Narodowy Bank Polski, vol. 52(2), pages 97-122.
    22. Rybacki Jakub, 2020. "Macroeconomic forecasting in Poland: The role of forecasting competitions," Central European Economic Journal, Sciendo, vol. 7(54), pages 1-11, January.
    23. Christine Lewis & Nigel Pain, 2014. "Lessons from OECD forecasts during and after the financial crisis," OECD Journal: Economic Studies, OECD Publishing, vol. 2014(1), pages 9-39.
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    More about this item

    Keywords

    GDP forecasting; labour market forecasts; COVID-19; forecasts’ accuracy; forecasts’ consistency;
    All these keywords.

    JEL classification:

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

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