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Forecasts are only as good as the data behind them. But macroeconomic data are revised, often significantly, as time passes and new source data become available and conceptual changes are made. How is forecasting influenced by the fact that data are revised? To answer this question, we begin...
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The term now-casting is a contraction for now and forecasting and has been used for a long time in meteorology and recently also in economics. In this chapter we survey recent developments in economic now-casting with special focus on those models that formalize key features of how market...
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This paper compares within-sample and out-of-sample fit of a DSGE model with rational expectations to a model with adaptive learning. The Galí, Smets and Wouters model is the chosen laboratory using quarterly real-time euro area data vintages, covering 2001Q1-2019Q4. The adaptive learning model...
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Based on the decline in real GDP growth, many economists now believe that the 'Great Recession', the output contraction the world experienced in 2008–09, is the deepest global economic contraction since the Great Depression. But as real-time real GDP data are typically revised, we investigate...
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The U.S. Energy Information Administration regularly publishes short-term forecasts of the price of crude oil. Traditionally, such out-of-sample forecasts have been largely judgmental, making them difficult to replicate and justify, and not particularly successful when compared with naive...
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