Inflation in Croatia: a new era of forecasting with machine learning
https://doi.org/10.3326/pse.50.1.3 | Published online: March 18, 2026 Table 1
Input features Figure 1
Illustrative display of the expanding window approach Table 2
RMSE in the pre-COVID-19 period for the 3-, 6- and 9-month forecasting horizons Table 3
RMSE in the post-COVID-19 period for the 3-, 6- and 9-month forecasting horizons Table 4
RMSE over the full observation period for the 3-, 6- and 9-month forecasting horizons Figure 2
Forecasted average annual inflation rate by the European Commission compared with forecasts from the SARIMA and LightGBM models (in %) Table A1
RMSE expressed as indices relative to the SARIMA model for the pre-COVID-19 period Table A2
RMSE expressed as indices relative to the SARIMA model for the post-COVID-19 period Table A3
RMSE expressed as indices relative to the SARIMA model for the full observation period Table A4
Average RMSE by feature set used
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