Write the growth correction term in a separate file.
parent
f07b1e8028
commit
8e60ded1bd
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@ -241,21 +241,7 @@ for i=1:maxlag
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end
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end
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if isequal(id, 1)
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if isequal(expectationmodelkind, 'pac-expectations') && growth_correction
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pgrowth = M_.param_names{expectationmodel.growth_neutrality_param_index};
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switch expectationmodel.growth_type
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case 'parameter'
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vgrowth = M_.param_names{expectationmodel.growth_index};
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case 'endogenous'
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vgrowth = M_.endo_names{expectationmodel.growth_index};
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case 'exogenous'
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vgrowth = M_.exo_names{expectationmodel.growth_index};
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otherwise
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end
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expression = sprintf('%s*%s+%s*%s', pgrowth, vgrowth, parameter, variable);
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else
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expression = sprintf('%s*%s', parameter, variable);
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end
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expression = sprintf('%s*%s', parameter, variable);
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else
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expression = sprintf('%s + %s*%s', expression, parameter, variable);
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end
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@ -267,6 +253,29 @@ fclose(fid);
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fprintf('Expectation unrolled expression is saved in %s.\n', filename);
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%
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% Second bis print the PAC growth neutrality correction term (if any).
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%
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if isequal(expectationmodelkind, 'pac-expectations') && growth_correction
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filename = sprintf('%s/model/%s/%s-%s-growth-neutrality-correction.inc', M_.fname, expectationmodelkind, eqtag, expectationmodelname);
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fid = fopen(filename, 'w');
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fprintf(fid, '// This file has been generated by dynare (%s).\n', datestr(now));
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pgrowth = M_.param_names{expectationmodel.growth_neutrality_param_index};
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switch expectationmodel.growth_type
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case 'parameter'
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vgrowth = M_.param_names{expectationmodel.growth_index};
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case 'endogenous'
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vgrowth = M_.endo_names{expectationmodel.growth_index};
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case 'exogenous'
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vgrowth = M_.exo_names{expectationmodel.growth_index};
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otherwise
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end
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fprintf(fid, '%s*%s', pgrowth, vgrowth);
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fclose(fid);
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fprintf('Growth neutrality correction is saved in %s.\n', filename);
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end
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%
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% Third print a routine for evaluating VAR_EXPECTATION/PAC_EXPECTATION term (returns a dseries object).
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%
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