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simulation, baseline forecasting and the testing of baselines against reality. This work demonstrates that CGE models can produce …Validity is a key issue for consumers of computable general equilibrium (CGE) modeling services. What assurance can … producers of CGE results give to consumers that a CGE analysis: (i) is computationally sound, (ii) uses accurate up-to-date data …
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higher frequency auxiliary data only for forecasting (see Giannone, Monti and Reichlin (2016)). The second method transforms … our method substantially decreases forecasting errors for recessions, but casting the model in a monthly frequency …
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forecasting. To further improve the forecasting, we modify our calibration approach by increasing the trader information set …
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. Nevertheless, their forecasting properties are still barely explored. We fill this gap by comparing the quality of real … priors from a DSGE model. We show that the analyzed DSGE model is relatively successful in forecasting the US economy in the … accurate forecasting power of the DSGE turns out to be similar or better than that of the SPF for all the variables and …
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. Nevertheless, their forecasting properties are still barely explored. We fill this gap by comparing the quality of real … priors from a DSGE model. We show that the analyzed DSGE model is relatively successful in forecasting the US economy in the … accurate short-term forecasts for interest rates. Conditional on experts' now casts, however, the forecasting power of the DSGE …
Persistent link: https://www.econbiz.de/10013155104
We forecast income growth over the period 2000-2050 in the US, Canada, and France. To ground the forecasts on relationships that are as robust as possible to changes in the environment, we use a quantitative theoretical approach which consists in calibrating and simulating a general equilibrium...
Persistent link: https://www.econbiz.de/10012729226