Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/288434 
Authors: 
Year of Publication: 
2020
Citation: 
[Journal:] Empirical Economics [ISSN:] 1435-8921 [Volume:] 60 [Issue:] 5 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2020 [Pages:] 2429-2453
Publisher: 
Springer, Berlin, Heidelberg
Abstract: 
In this study, we systematically evaluate the potential of a bunch of survey-based indicators from different economic branches to forecasting export growth across a multitude of European countries. Our pseudo-out-of-sample analyses reveal that the best performing indicators beat a well-specified benchmark model in terms of forecast accuracy. It turns out that four indicators are superior: the Export Climate, the Production Expectations of domestic manufacturing firms, the Industrial Confidence Indicator, and the Economic Sentiment Indicator. Two robustness checks confirm these results. As exports are highly volatile and turn out to be a large demand-side component of gross domestic product, our results can be used by applied forecasters in order to choose the best performing indicators and thus increasing the accuracy of export forecasts.
Subjects: 
Export forecasting
Export expectations
Export Climate
Europe
JEL: 
F01
F10
F17
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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