kalman_transition_matrix
PURPOSE 
function [A,B] = kalman_transition_matrix(dr,iv,ic,exo_nbr)
SYNOPSIS 
function [A,B] = kalman_transition_matrix(dr,iv,ic,exo_nbr)
DESCRIPTION 
CROSS-REFERENCE INFORMATION 
This function calls:
This function is called by:
- UnivariateSpectralDensity This function computes the theoretical spectral density of each
- display_conditional_variance_decomposition This function computes the conditional variance decomposition of a given state space model
- dsge_simulated_theoretical_conditional_variance_decomposition This function computes the posterior or prior distribution of the conditional variance
- dynare_resolve Computes the linear approximation and the matrices A and B of the transition equation.
- forcst function [yf,int_width]=forecst(dr,y0,horizon,var_list)
- get_variance_of_endogenous_variables function vx1 = get_variance_of_endogenous_variables(dr,i_var)
- map_ident_ Copyright (C) 2012 Dynare Team
- simultxdet function [y_,int_width]=simultxdet(y0,ex,ex_det, iorder,var_list,M_,oo_,options_)
- th_autocovariances Computes the theoretical auto-covariances, Gamma_y, for an AR(p) process
SOURCE CODE 
0001 function [A,B] = kalman_transition_matrix(dr,iv,ic,exo_nbr)
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0035 n_iv = length(iv);
0036
0037 A = zeros(n_iv,n_iv);
0038
0039 i_n_iv = 1:n_iv;
0040 A(i_n_iv,ic) = dr.ghx(iv,:);
0041
0042 if nargout>1
0043 B = zeros(n_iv,exo_nbr);
0044 B(i_n_iv,:) = dr.ghu(iv,:);
0045 end
0046
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