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Estimate Posterior Mode

 

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Run the posterior mode estimation routine for the DSGE model when expectations are modeled with adaptive learning. The choices on the Settings and Options tabs which are used under rational expectations are also used here. The only difference compared with the rational expectations case concerns the three extra parameters under adaptive learning, where the parameter vector will be appended with those that are to be estimated.

 

Additional Information

A detailed discussion about the joint Kalman filter for calculating the log-likelihood function can be found in Section 17.5 of the YADA Manual.

 

 


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