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| * MonteCarloOptimization (using a Metropolis Hastings to get an estimate of the posterior mode and a good covariance matrix for the jumping distribution) | * MonteCarloOptimization (using a Metropolis Hastings to get an estimate of the posterior mode and a good covariance matrix for the jumping distribution) * ConditionalForecast (how to condition the future path of a subset of endogenous variables). |
New features for Dynare and improvements to Matlab code
HomoTopy (using homotopy type methods to compute the steady state)
StructuralChange (estimating models with change in the value of structural parameters)
GlobalVariables (removing global variables in Dynare code)
MonteCarloOptimization (using a Metropolis Hastings to get an estimate of the posterior mode and a good covariance matrix for the jumping
distribution)
ConditionalForecast (how to condition the future path of a subset of endogenous variables).