sur, surgibbs: add possibility to select subset of equations
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@ -1,9 +1,11 @@
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function varargout = sur(ds)
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% function varargout = sur(ds)
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function varargout = sur(ds, eqtags)
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% function varargout = sur(ds, eqtags)
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% Seemingly Unrelated Regressions
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%
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% INPUTS
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% ds [dseries] data to use in estimation
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% ds [dseries] data to use in estimation
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% eqtags [cellstr] names of equation tags to estimate. If empty,
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% estimate all equations
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%
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% OUTPUTS
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% none
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@ -31,6 +33,7 @@ function varargout = sur(ds)
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global M_ oo_ options_
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%% Check input argument
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assert(nargin == 1 || nargin == 2, 'You must provide one or two arguments');
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assert(~isempty(ds) && isdseries(ds), 'The first argument must be a dseries');
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%% Read JSON
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@ -41,13 +44,17 @@ end
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jsonmodel = loadjson(jsonfile);
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jsonmodel = jsonmodel.model;
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[lhs, rhs, lineno] = getEquationsByTags(jsonmodel);
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if nargin == 1
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[lhs, rhs, lineno] = getEquationsByTags(jsonmodel);
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else
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[lhs, rhs, lineno] = getEquationsByTags(jsonmodel, 'name', eqtags);
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end
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%% Find parameters and variable names in equations and setup estimation matrices
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[X, Y, startdates, enddates, startidxs, residnames, pbeta, vars, pidxs, surconstrainedparams] = ...
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pooled_sur_common(ds, lhs, rhs, lineno);
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if size(X, 2) ~= M_.param_nbr
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if nargin == 1 && size(X, 2) ~= M_.param_nbr
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warning(['Not all parameters were used in model: ' ...
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sprintf('%s', strjoin(setdiff(M_.param_names, pbeta), ', '))]);
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end
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@ -1,5 +1,5 @@
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function surgibbs(ds, param_names, beta0, A, ndraws, discarddraws, thin)
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%function surgibbs(ds, param_names, beta0, A, ndraws, discarddraws, thin)
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function surgibbs(ds, param_names, beta0, A, ndraws, discarddraws, thin, eqtags)
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%function surgibbs(ds, param_names, beta0, A, ndraws, discarddraws, thin, eqtags)
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% Implements Gibbs Samipling for SUR
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%
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% INPUTS
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@ -11,6 +11,8 @@ function surgibbs(ds, param_names, beta0, A, ndraws, discarddraws, thin)
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% ndraws [int] number of draws
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% discarddraws [int] number of draws to discard
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% thin [int] if thin == N, save every Nth draw
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% eqtags [cellstr] names of equation tags to estimate. If empty,
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% estimate all equations
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%
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% OUTPUTS
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% none
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@ -44,7 +46,7 @@ function surgibbs(ds, param_names, beta0, A, ndraws, discarddraws, thin)
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global M_ oo_
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%% Check input
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assert(nargin == 5 || nargin == 6 || nargin == 7, 'Incorrect number of arguments passed to surgibbs');
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assert(nargin >= 5 && nargin <= 8, 'Incorrect number of arguments passed to surgibbs');
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assert(isdseries(ds), 'The 1st argument must be a dseries');
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assert(iscellstr(param_names), 'The 2nd argument must be a cellstr');
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assert(isvector(beta0) && length(beta0) == length(param_names), ...
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@ -67,12 +69,24 @@ else
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end
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%% Estimation
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[nobs, pidxs, X, Y, m] = sur(ds);
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if nargin == 8
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[nobs, pidxs, X, Y, m] = sur(ds, eqtags);
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else
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[nobs, pidxs, X, Y, m] = sur(ds);
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end
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pnamesall = M_.param_names(pidxs);
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nparams = length(param_names);
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pidxs = zeros(nparams, 1);
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for i = 1:nparams
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pidxs(i) = find(strcmp(param_names{i}, pnamesall));
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idxs = find(strcmp(param_names{i}, pnamesall));
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if isempty(idxs)
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if ~isempty(eqtags)
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error(['Could not find ' param_names{i} ...
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' in the provided equations specified by ' strjoin(eqtags, ',')]);
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end
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error('Unspecified error. Please report');
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end
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pidxs(i) = idxs;
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end
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X = X(:, pidxs);
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beta = beta0;
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