Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/223190
Authors: 
Behrens, Christoph
Year of Publication: 
2019
Series/Report no.: 
Working Papers of the Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour" No. 9
Abstract: 
I analyze the joint efficiency of export and import forecasts by leading economic research institutes for the years 1970 to 2017 for Germany in a multivariate setting. To this end, I compute, in a first step, multivariate random forests in order to model links between forecast errors and a forecaster's information set, consisting of several trade and other macroeconomic predictor variables. I use the Mahalanobis distance as performance criterion and, in a second step, permutation tests to check whether the Mahalanobis distance between the predicted forecast errors for the trade forecasts and actual forecast errors is significantly smaller than under the null hypothesis of forecast efficiency. I find evidence for joint forecast inefficiency for two forecasters, however, for one forecaster I cannot reject joint forecast efficiency. For the other forecasters, joint forecast efficiency depends on the examined forecast horizon. I find evidence that real macroeconomic variables as opposed to trade variables are inefficiently included in the analyzed trade forecasts. Finally, I compile a joint efficiency ranking of the forecasters.
Subjects: 
Trade forecasts
German economic research institutes
Forecast efficiency
Multivariate random forests
JEL: 
C53
F17
F47
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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