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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