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Forecast robustness in macroeconometric models

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  • Gunnar Bårdsen
  • Dag Kolsrud
  • Ragnar Nymoen

Abstract

The paper investigates explanations for forecasting invariance to structural breaks. After highlighting the role of policy, we isolate possible structural invariance in a simplified dynamic macro model that nevertheless has features in common with the standard model of aggregate demand and aggregate supply. We find, as expected, that structural breaks in growth rates and in the means of cointegrating relationships will always damage some of the variables. But we also find examples of "insulation" from shocks. The results about partial robustness is a property of the economy itself (here represented by the DGP) and not of the forecasts.
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Suggested Citation

  • Gunnar Bårdsen & Dag Kolsrud & Ragnar Nymoen, 2017. "Forecast robustness in macroeconometric models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(6), pages 629-639, September.
    • Handle: RePEc:wly:jforec:v:36:y:2017:i:6:p:629-639
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    Cited by:

    1. Jennifer L. Castle & Michael P. Clements & David F. Hendry, 2016. "An Overview of Forecasting Facing Breaks," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 12(1), pages 3-23, September.
    2. Vassilios Bazinas & Bent Nielsen, 2022. "Causal Transmission in Reduced-Form Models," Econometrics, MDPI, vol. 10(2), pages 1-25, March.
    3. Bårdsen, Gunnar & Nymoen, Ragnar, 2025. "Dynamic time series modelling and forecasting of COVID-19 in Norway," International Journal of Forecasting, Elsevier, vol. 41(1), pages 251-269.
    4. Bårdsen, Gunnar & den Reijer, Ard & Jonasson, Patrik & Nymoen, Ragnar, 2012. "MOSES: Model for studying the economy of Sweden," Economic Modelling, Elsevier, vol. 29(6), pages 2566-2582.

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