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Simple macroeconomic forecast distributions for the G7 economies

Becker, Friederike 1; Krüger, Fabian 1; Schienle, Melanie ORCID iD icon 1
1 Institut für Statistik (STAT), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

We present a simple method for predicting the distribution of output growth and inflation in the G7 economies. The method is based on point forecasts published by the International Monetary Fund (IMF) as well as robust statistics from the empirical distribution of the IMF’s past forecast errors while imposing coherence of prediction intervals across horizons. We show that the technique yields calibrated prediction intervals and performs similar to, or better than, more complex time series models in terms of statistical loss functions. We provide a simple website with graphical illustrations of our forecasts as well as time-stamped data files that document their real-time character.


Zugehörige Institution(en) am KIT Institut für Statistik (STAT)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 01.12.2025
Sprache Englisch
Identifikator ISSN: 1932-6157, 1941-7330
KITopen-ID: 1000189428
Erschienen in The Annals of Applied Statistics
Verlag Institute of Mathematical Statistics (IMS)
Band 19
Heft 4
Seiten 2878 - 2897
Schlagwörter macroeconomic forecasting, prediction uncertainty
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