57 lines
3.0 KiB
Matlab
57 lines
3.0 KiB
Matlab
function [Ptld,H0invtld,Hpinvtld] = fn_rlrprior(Ui,Vi,Pi,H0multi,Hpmulti,nvar)
|
|
% [Ptld,H0invtld,Hpinvtld] = fn_rlrprior(Ui,Vi,Pi,H0multi,Hpmulti,nvar)
|
|
%
|
|
% Exporting random Bayesian prior with linear restrictions
|
|
% See Waggoner and Zha's Gibbs sampling paper
|
|
%
|
|
% Ui: nvar-by-1 cell. In each cell, nvar-by-qi orthonormal basis for the null of the ith
|
|
% equation contemporaneous restriction matrix where qi is the number of free parameters.
|
|
% With this transformation, we have ai = Ui*bi or Ui'*ai = bi where ai is a vector
|
|
% of total original parameters and bi is a vector of free parameters. When no
|
|
% restrictions are imposed, we have Ui = I. There must be at least one free
|
|
% parameter left for the ith equation. Imported from dnrprior.m.
|
|
% Vi: nvar-by-1 cell. In each cell, k-by-ri orthonormal basis for the null of the ith
|
|
% equation lagged restriction matrix where k (ncoef) is a total number of RHS variables and
|
|
% ri is the number of free parameters. With this transformation, we have fi = Vi*gi
|
|
% or Vi'*fi = gi where fi is a vector of total original parameters and gi is a
|
|
% vector of free parameters. There must be at least one free parameter left for
|
|
% the ith equation. Imported from dnrprior.m.
|
|
% Pi: ncoef-by-nvar matrix for the ith equation under random walk. Same for all equations
|
|
% H0multi: nvar-by-nvar-by-nvar; H0 for different equations under asymmetric prior
|
|
% Hpmulti: ncoef-by-ncoef-by-nvar; H+ for different equations under asymmetric prior
|
|
% nvar: number of endogenous variables
|
|
% --------------------
|
|
% Ptld: cell(nvar,1). The prior mean of g_i is Ptld{i}*b_i;
|
|
% H0invtld: cell(nvar,1). Transformed inv covaraince for b_i, the free parameters in A0(:,i);
|
|
% Hpinvtld: cell(nvar,1). Transformed inv covaraince for g_i, the free parameters in A+(:,i);
|
|
%
|
|
% Tao Zha, February 2000
|
|
|
|
% Copyright (C) 2000-2011 Tao Zha
|
|
%
|
|
% This file is part of Dynare.
|
|
%
|
|
% Dynare is free software: you can redistribute it and/or modify
|
|
% it under the terms of the GNU General Public License as published by
|
|
% the Free Software Foundation, either version 3 of the License, or
|
|
% (at your option) any later version.
|
|
%
|
|
% Dynare is distributed in the hope that it will be useful,
|
|
% but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
% GNU General Public License for more details.
|
|
%
|
|
% You should have received a copy of the GNU General Public License
|
|
% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
|
|
|
|
Ptld = cell(nvar,1); % tld: tilda
|
|
H0invtld = cell(nvar,1); % H0 for different equations under linear restrictions
|
|
Hpinvtld = cell(nvar,1); % H+ for different equations under linear restrictions
|
|
|
|
for n=1:nvar % one for each equation
|
|
Hpinvtld{n} = Vi{n}'*(Hpmulti(:,:,n)\Vi{n});
|
|
Ptld{n} = (Hpinvtld{n}\Vi{n}')*(Hpmulti(:,:,n)\Pi)*Ui{n};
|
|
H0invtld{n} = Ui{n}'*(H0multi(:,:,n)\Ui{n}) + Ui{n}'*Pi'*(Hpmulti(:,:,n)\Pi)*Ui{n} ...
|
|
- Ptld{n}'*Hpinvtld{n}*Ptld{n};
|
|
end
|