Data revisions to german national accounts: are initial releases good nowcasts?

Data revisions to national accounts pose a serious challenge to policy decision making. Well-behaved revisions should be unbiased, small and unpredictable. This paper shows that revisions to German national accounts are biased, large and predictable. Moreover, using filtering techniques designed to...

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Bibliographic Details
Main Authors: Strohsal, Till (Author), Wolf, Elias (Author)
Format: Electronic eBook
Language:English
Published: Berlin Freie Universität Berlin [2019]
Series:Discussion paper / Freie Universität Berlin, School of Business & Economics Economics 2019, 11
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Online Access:Volltext
Summary:Data revisions to national accounts pose a serious challenge to policy decision making. Well-behaved revisions should be unbiased, small and unpredictable. This paper shows that revisions to German national accounts are biased, large and predictable. Moreover, using filtering techniques designed to process data subject to revisions, the real-time forecasting performance of initial releases can be increased by up to 17%. For total real GDP growth, however, the initial release is an optimal forecast. Yet, given the results for disaggregated variables, the averaging-out of biases and inefficiencies at the aggregate GDP level appears to be good luck rather than good forecasting
Physical Description:1 Online-Ressource (12 Seiten) Diagramm

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