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Persistent link: https://www.econbiz.de/10009356321
This paper investigates the accuracy of point and density forecasts of four DSGE models for inflation, output growth and the federal funds rate. Model parameters are estimated and forecasts are derived successively from historical US data vintages synchronized with the Fed's Greenbook...
Persistent link: https://www.econbiz.de/10010392192
Persistent link: https://www.econbiz.de/10011327648
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...
Persistent link: https://www.econbiz.de/10012955198
This paper investigates the accuracy of point and density forecasts of four DSGE models for inflation, output growth and the federal funds rate. Model parameters are estimated and forecasts are derived successively from historical U.S. data vintages synchronized with the Fed's Greenbook...
Persistent link: https://www.econbiz.de/10013038705
Persistent link: https://www.econbiz.de/10009126610
This paper investigates the accuracy of forecasts from four DSGE models for inflation, output growth and the federal funds rate using a real-time dataset synchronized with the Fed’s Greenbook projections. Conditioning the model forecasts on the Greenbook nowcasts leads to forecasts that are as...
Persistent link: https://www.econbiz.de/10009792175
Persistent link: https://www.econbiz.de/10010394237
We study the forecasting performance of three alternative large scale approaches using a dataset for Germany that consists of 123 variables in quarterly frequency. These three approaches handle the dimensionality problem evoked by such a large dataset by aggregating information, yet on different...
Persistent link: https://www.econbiz.de/10010357899
We study the forecasting performance of three alternative large scale approaches for German key macroeconomic variables using a dataset that consists of 123 variables in quarterly frequency. These three approaches handle the dimensionality problem evoked by such a large dataset by aggregating...
Persistent link: https://www.econbiz.de/10010489849