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Tracking world trade and GDP in real time

Roberto Golinelli and Giuseppe Parigi

No 920, Temi di discussione (Economic working papers) from Bank of Italy, Economic Research and International Relations Area

Abstract: This paper proposes a simple procedure to obtain monthly assessments of short-run perspectives for quarterly world GDP and trade. It combines emerging and advanced countries� high frequency information to explain quarterly national accounts variables through bridge models. The union of all bridge equations leads to our world bridge model (WBM). The WBM econometric approach is new for two reasons: its equations combine traditional short-run bridging with theoretical level-relationships; it is the first time that forecasts of world GDP and trade are computed for advanced and emerging countries on the basis of a real-time database of 7,000 time series. Although the performance of the equations that are automatically searched for should be taken as a lower bound, results show a better WBM forecasting ability than the benchmark case and confirm the usefulness of combining WBM real-time forecasts with preliminary releases to improve the prediction of world trade. Finally, we show that the (unrealistic) use of revised data leads to a systematic overstatement of model forecasting performance.

Keywords: world trade and GDP forecasts; augmented bridge models; real-time data; forecasting ability (search for similar items in EconPapers)
JEL-codes: C22 C53 E37 F47 (search for similar items in EconPapers)
Date: 2013-07
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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Journal Article: Tracking world trade and GDP in real time (2014) Downloads
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