Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/124704 
Authors: 
Year of Publication: 
2015
Series/Report no.: 
55th Congress of the European Regional Science Association: "World Renaissance: Changing roles for people and places", 25-28 August 2015, Lisbon, Portugal
Publisher: 
European Regional Science Association (ERSA), Louvain-la-Neuve
Abstract: 
We evaluate whether survey-based indicators produce lower forecast errors for export growth than indicators obtained from hard data such as price and cost competitiveness measures. Our pseudo out-of-sample analyzes and forecast encompassing tests reveal that survey-based indicators outperform the benchmark model as well as the indicators from hard data for most of our 20 European states and the aggregates EA-18 and EU-28. The most accurate forecasts are on average produced by the confidence indicator in the manufacturing sector, the economic sentiment indicator and the production expectations. However, large country differences in the forecast accuracy of survey-based indicators emerge. These differences are mainly explained with country-specific export compositions. A larger share in raw material or oil exports worsens the accuracy of soft indicators. The accuracy of soft indicators improves if countries have a larger share in exports of machinery goods. For hard indicators, we find only weak evidence for the export composition to explain differences in forecast accuracy.
Subjects: 
export forecasting
export expectations
price and cost competitiveness
JEL: 
F01
F10
F17
Document Type: 
Conference Paper

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