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Assessing Macroeconomic Forecast Uncertainty: An Application to the Risk of Deflation in Germany

Year:    2005

Author:    Borbély, Dora, Meier, Carsten-Patrick

Credit and Capital Markets – Kredit und Kapital, Vol. 38 (2005), Iss. 3 : pp. 377–399

Abstract

This paper proposes an approach for estimating the uncertainty associated with model-based macroeconomic forecasts. We argue that estimated forecast intervals should account for the uncertainty arising from selecting the specification of an empirical forecasting model from the sample data. To allow this uncertainty to be considered systematically, we formalize a model selection procedure that specifies the lag structure of a model and accounts for aberrant observations. The procedure can be used to bootstrap the complete model selection process when estimating forecast intervals. We apply the procedure to generating forecasts and forecast intervals for the change in the consumer price index in Germany, with special emphasis on assessing the risk of deflationary developments. (JEL C5, E0, E5)

Journal Article Details

Publisher Name:    Global Science Press

Language:    Multiple languages

DOI:    https://doi.org/10.3790/ccm.38.3.377

Credit and Capital Markets – Kredit und Kapital, Vol. 38 (2005), Iss. 3 : pp. 377–399

Published online:    2005-03

AMS Subject Headings:    Duncker & Humblot

Copyright:    COPYRIGHT: © Global Science Press

Pages:    23

Author Details

Borbély, Dora

Meier, Carsten-Patrick

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