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In this paper, we propose a new method to forecast macroeconomic variables that combines two existing approaches to mixed-frequency data in DSGE models. The first existing approach estimates the DSGE model in a quarterly frequency and uses higher frequency auxiliary data only for forecasting...
Persistent link: https://www.econbiz.de/10013471326
scale of a DSGE model and that of the time series data used for its estimation generally creates identfication problems …, introduces estimation bias and distorts the results of policy analysis. On the constructive side, we prove that the use of mixed … frequency data, combined with a proper estimation approach, can alleviate the temporal aggregation bias, mitigate the …
Persistent link: https://www.econbiz.de/10012143827
estimation can have serious consequences for identification, estimation and interpretation of the impulse response functions …. However, the use of mixed frequency data, combined with a proper estimation approach, can alleviate the temporal aggregation …
Persistent link: https://www.econbiz.de/10012143839
In this paper, we propose a new method to forecast macroeconomic variables that combines two existing approaches to mixed-frequency data in DSGE models. The first existing approach estimates the DSGE model in a quarterly frequency and uses higher frequency auxiliary data only for forecasting...
Persistent link: https://www.econbiz.de/10013465707
Persistent link: https://www.econbiz.de/10011285361
Persistent link: https://www.econbiz.de/10011704953
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This paper proposes mixed-frequency distributed-lag (MFDL) estimators of impulse response functions (IRFs) in a setup where (i) the shock of interest is observed, (ii) the impact variable of interest is observed at a lower frequency (as a temporally aggregated or sequentially sampled variable),...
Persistent link: https://www.econbiz.de/10012058985