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We develop a small-scale dynamic factor model for the Swiss economy based on an appropriately selected set of indicators. The resulting business cycle factor is in striking accordance with historical Swiss business cycle fluctuations. Our proposed model demonstrates a remarkable performance in...
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-Gaussian (Kalman) filter. Crucially, consistent estimation does not require differencing the data despite it being cointegrated of …
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model averaging framework for macroeconomic nowcasting. Our suggested model can efficiently deal with the nature of the real …-time data flow as well as parameter uncertainty and time-varying volatility. In addition, we develop a fast estimation algorithm …
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We estimate a Markow-switching dynamic factor model with three states based on six leading business cycle indicators for Germany preselected from a broader set using the Elastic Net soft-thresholding rule. The three states represent expansions, normal recessions and severe recessions. We show...
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Quarterly GDP figures usually are published with a delay of some weeks. A common way to generate GDP series of higher frequency, i.e. to nowcast GDP, is to use available indicators to calculate a single index by means of a common factor derived from a dynamic factor model (DFM). This paper deals...
Persistent link: https://www.econbiz.de/10010229863
We have assessed the effect of data releases when constructing short-term point and density forecasts of the Spanish gross domestic product growth. For this purpose, we considered a real-forecasting exercise in which we defined several pseudo-data vintages that had a mixture of monthly and...
Persistent link: https://www.econbiz.de/10015073109
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