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Document prior moments(distribution) option

time-shift
Johannes Pfeifer 2018-11-14 10:10:40 +01:00 committed by Stéphane Adjemia (Scylla)
parent 68d3852cbf
commit 6460a3a1e5
Signed by untrusted user who does not match committer: stepan
GPG Key ID: A6D44CB9C64CE77B
3 changed files with 22 additions and 4 deletions
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7
doc/dynare.texi
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@ -14773,6 +14773,13 @@ Computes and displays first and second order moments of the endogenous
variables at the prior mode (considering the linearized version of the
model).
@item moments(distribution)
Computes and displays the prior mean and prior standard deviation of the
first and second moments of the endogenous variables (considering the
linearized version of the model) by randomly sampling from the prior.
The results will also be stored in the @code{prior} subfolder in a
@code{_endogenous_variables_prior_draws.mat} file.
@item optimize
Optimizes the prior density (starting from a random initial guess). The
parameters such that the steady state does not exist or does not satisfy

4
matlab/cli/prior.m
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@ -3,7 +3,7 @@ function varargout = prior(varargin)
% Computes various prior statistics and display them in the command window.
%
% INPUTS
% 'table', 'moments', 'optimize', 'simulate', 'plot'
% 'table', 'moments', 'optimize', 'simulate', 'plot', 'moments(distribution)'
%
% OUTPUTS
% none
@ -11,7 +11,7 @@ function varargout = prior(varargin)
% SPECIAL REQUIREMENTS
% none
% Copyright (C) 2015-2017 Dynare Team
% Copyright (C) 2015-2018 Dynare Team
%
% This file is part of Dynare.
%

15
matlab/print_moments_implied_prior.m
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@ -1,7 +1,18 @@
function print_moments_implied_prior(ModelInfo, mm, vm, mv, vv)
%function print_moments_implied_prior(ModelInfo, mm, vm, mv, vv)
% This routine prints in the command window some descriptive statistics
% about the endogenous variables implied prior moments.
% Inputs:
% - ModelInfo [structure] Dynare's model structure
% - mm [endo_nbr*1] mean first moments of the endogenous
% variables
% - vm [endo_nbr*1] variance of the first moments of the
% endogenous variables
% - mv [endo_nbr*endo_nbr] mean first moments of the endogenous
% variables
% - vv [endo_nbr] variance of the first moments of the
% endogenous variables
% Copyright (C) 2016-2018 Dynare Team
%
@ -45,7 +56,7 @@ skipline(2)
disp(TT)
skipline(2)
disp('(Implied) Prior moments of the endogenous variables'' variance')
disp('(Implied) Prior moments of the endogenous variables'' (co)variance')
disp(printline(61, '-'))
T1a = 'VARIABLE-1';