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Posterior Mode Results

 

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View all the posterior mode results. The results are divided into the following categories:

Sample and data information: The data contains the estimation sample, number of lags, and the names of variables.
Prior information: The data contains the type of prior for the steady state parameters, the parameters on lags, and the covariance matrix. The information also lists the values for the prior hyperparameters.
Optimization information: The optimization time, the tolerance level used,  the number of iterations, the value of the convergence function, and the value of the log posterior.
Parameters: The posterior mode estimates for the three parameters groups: steady state parameters, parameters on lagged endogenous variables, and residual covariance parameters.

 

 


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