Financial data usually are more accurate and are also available at higher frequency than macroeconomic indicators. In order to fully take advantage of the mixed-frequencies, the authors propose formulating DSGE models in continuous time. They
also develop estimation techniques for such models based on martingale estimating functions (MEF) that uses model-based aggregation to incorporate the mixed-frequency data