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Titel
Nowcasting East German GDP growth : a MIDAS approach / João C. Claudio, Katja Heinisch, Oliver Holtemöller
VerfasserClaudio, João C. ; Heinisch, Katja ; Holtemöller, Oliver
ErschienenHalle (Saale), Germany : Halle Institute for Economic Research (IWH) - Member of the Leibniz Association, [2019]
Umfang1 Online-Ressource (III, 20 Seiten, 0,83 MB) : Diagramme
SpracheEnglisch
SerieIWH-Diskussionspapiere ; 2019, no. 24 (December 2019)
URNurn:nbn:de:gbv:3:2-116319 
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Nowcasting East German GDP growth [0.83 mb]
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Economic forecasts are an important element of rational economic policy both on the federal and on the local or regional level. Solid budgetary plans for government expenditures and revenues rely on efficient macroeconomic projections. However official data on quarterly regional GDP in Germany are not available and hence regional GDP forecasts do not play an important role in public budget planning. We provide a new quarterly time series for East German GDP and develop a forecasting approach for East German GDP that takes data availability in real time and regional economic indicators into account. Overall we find that mixed-data sampling model forecasts for East German GDP in combination with model averaging outperform regional forecast models that only rely on aggregate national information.