First estimates of trade account statistics attract quite some attention in the media as they contain substantial information on recent economic developments. It is well known, however, that subsequent revisions of in particular this series can sometimes have substantial consequences for ex post evaluations of the economy. As a small open economy, Swiss overall growth as measured by its GDP is particularly prone for these revisions. This paper sets up a real-time dataset which is then used to analyze to what extent the first release of current account data (as compared to its revision) contains a structural bias and/or can be improved upon by the use of survey results as gathered by KOF at the ETH Zurich. If this is the case, this would allow for improvements in its future first release and thereby enhance the current assessment of the Swiss economy
The text is part of a series 2006 MMF Conference Papers Number 167
Classification:
C22 - Time-Series Models ; C53 - Forecasting and Other Model Applications ; C82 - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data