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 …

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 … bias, mitigate the identification issues, and yield more reliable responses to shocks. The problems and possible remedy are …